What Data Modeling Professionals Jobs are in India?
Showing 711 Data Modeling Professionals jobs in India
Job Description
**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Modeller to join our team in Gurgaon, Haryāna (IN-HR), India (IN).
Job Title: Senior Data Modeler
Job Summary:
We are looking for an experienced Senior Data Modeler with 8+ years of experience in designing and managing complex data models for enterprise and financial systems. The ideal candidate should have strong expertise in financial data structures, entity mapping, document metadata modeling, schema design for SQL and NoSQL databases, and deep understanding of fund, LP, and GP data structures. This role requires a professional who can translate business requirements into scalable, high-quality logical and physical data models that support analytics, operations, integrations, and governance.
Key Responsibilities:
- Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
- Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
- Perform entity mapping across multiple source systems, business domains, and target platforms
- Design and manage document metadata models to support search, classification, governance, and retrieval
- Develop schema designs for both SQL and NoSQL databases
- Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
- Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
- Ensure consistency, standardization, and quality across enterprise data models
- Support integration of data models across operational systems, reporting platforms, and downstream applications
- Participate in data governance, metadata management, and master/reference data initiatives
- Analyze current data structures and recommend improvements for scalability, usability, and maintainability
- Create and maintain data dictionaries, mapping documents, model diagrams, and design documentation
- Support data quality initiatives through model validation and alignment with business definitions
- Collaborate with engineering teams to ensure model implementation aligns with architecture and business intent
Required Skills and Qualifications:
- 8+ years of experience in data modeling, data architecture, or related data design roles
- Strong experience with financial data structures
- Strong understanding of fund, LP, and GP data structures
- Hands-on experience in entity mapping across systems and domains
- Expertise in document metadata modeling
- Strong experience in schema design for both SQL and NoSQL databases
- Deep understanding of conceptual, logical, and physical data modeling techniques
- Ability to define and document entities, attributes, relationships, keys, and constraints
- Experience working with structured, semi-structured, and metadata-driven datasets
- Knowledge of data quality, data governance, and metadata management principles
- Strong analytical, documentation, and communication skills
- Experience collaborating with technical and business stakeholders in enterprise environments
Preferred Qualifications:
- Experience in financial services, investment management, private equity, or related domains
- Familiarity with regulatory or governance-driven data environments
- Exposure to data integration, master data management, and reference data concepts
- Experience with data modeling tools such as ER/Studio, ERwin, Lucidchart, Visio, or similar
- Understanding of document management or content metadata platforms
- Experience supporting data lake, warehouse, or enterprise data platform initiatives
Key Competencies:
- Enterprise data modeling
- Financial domain knowledge
- Metadata and schema design
- Cross-system entity mapping
- Data quality and governance alignment
- Business-to-data translation
- Strong documentation and stakeholder collaboration
Sample Focus Areas:
- Financial data structures
- Fund / LP / GP data models
- Entity mapping
- Document metadata modeling
- SQL / NoSQL schema design
Education:
- Bachelor's degree in Computer Science, Information Systems, Data Management, Finance, Engineering, or a related field preferred
**About NTT DATA**
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Modeller to join our team in Gurgaon, Haryāna (IN-HR), India (IN).
Job Title: Senior Data Modeler
Job Summary:
We are looking for an experienced Senior Data Modeler with 8+ years of experience in designing and managing complex data models for enterprise and financial systems. The ideal candidate should have strong expertise in financial data structures, entity mapping, document metadata modeling, schema design for SQL and NoSQL databases, and deep understanding of fund, LP, and GP data structures. This role requires a professional who can translate business requirements into scalable, high-quality logical and physical data models that support analytics, operations, integrations, and governance.
Key Responsibilities:
- Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
- Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
- Perform entity mapping across multiple source systems, business domains, and target platforms
- Design and manage document metadata models to support search, classification, governance, and retrieval
- Develop schema designs for both SQL and NoSQL databases
- Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
- Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
- Ensure consistency, standardization, and quality across enterprise data models
- Support integration of data models across operational systems, reporting platforms, and downstream applications
- Participate in data governance, metadata management, and master/reference data initiatives
- Analyze current data structures and recommend improvements for scalability, usability, and maintainability
- Create and maintain data dictionaries, mapping documents, model diagrams, and design documentation
- Support data quality initiatives through model validation and alignment with business definitions
- Collaborate with engineering teams to ensure model implementation aligns with architecture and business intent
Required Skills and Qualifications:
- 8+ years of experience in data modeling, data architecture, or related data design roles
- Strong experience with financial data structures
- Strong understanding of fund, LP, and GP data structures
- Hands-on experience in entity mapping across systems and domains
- Expertise in document metadata modeling
- Strong experience in schema design for both SQL and NoSQL databases
- Deep understanding of conceptual, logical, and physical data modeling techniques
- Ability to define and document entities, attributes, relationships, keys, and constraints
- Experience working with structured, semi-structured, and metadata-driven datasets
- Knowledge of data quality, data governance, and metadata management principles
- Strong analytical, documentation, and communication skills
- Experience collaborating with technical and business stakeholders in enterprise environments
Preferred Qualifications:
- Experience in financial services, investment management, private equity, or related domains
- Familiarity with regulatory or governance-driven data environments
- Exposure to data integration, master data management, and reference data concepts
- Experience with data modeling tools such as ER/Studio, ERwin, Lucidchart, Visio, or similar
- Understanding of document management or content metadata platforms
- Experience supporting data lake, warehouse, or enterprise data platform initiatives
Key Competencies:
- Enterprise data modeling
- Financial domain knowledge
- Metadata and schema design
- Cross-system entity mapping
- Data quality and governance alignment
- Business-to-data translation
- Strong documentation and stakeholder collaboration
Sample Focus Areas:
- Financial data structures
- Fund / LP / GP data models
- Entity mapping
- Document metadata modeling
- SQL / NoSQL schema design
Education:
- Bachelor's degree in Computer Science, Information Systems, Data Management, Finance, Engineering, or a related field preferred
**About NTT DATA**
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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0
Job Description
Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.
**Role Overview**
We are looking for a CPQ Data Modeling & Automation Specialist to join our dynamic team responsible for modeling Xylem products in Tacton CPQ. This role blends engineering knowledge, data modeling expertise, and software automation skills to ensure accurate, scalable, and efficient product configurations.
You'll work closely with technical documentation, engineering teams, and business stakeholders to structure product data, implement configuration logic, and support automation initiatives that improve data quality and reduce manual effort.
**Key Responsibilities**
**Product Modeling & Configuration**
- Gather product requirements from engineering documents, brochures, and engineering documents.
- Structure and model product data in Tacton CPQ using constraints, rules, and dependencies.
- Design user-friendly configuration interfaces and implement smart part number logic.
**Automation & Quality Assurance**
- Develop scripts/tools (e.g., Python, VBA) to automate data validation and error detection.
- Build workflows to streamline data loading and testing processes.
- Support internal and external flow testing and QA automation.
**Data Integration & Management**
- Collect and organize material, motor, and dimensional data into the product database, and ensure it is properly integrated with the product configuration system. The data should dynamically respond to user selections during the configuration process, displaying only relevant options based on chosen parameters.
- Collaborate with pricing teams to integrate IPL tables and dynamic pricing modules.
**Support & Collaboration**
- Work cross-functionally with Engineering, Marketing, and Product Management.
- Collaborate with integration teams and support API-based communication between Tacton CPQ and custom web applications. Assist in debugging and resolving integration-related issues from a modeling perspective.
**Qualifications**
- Bachelor's degree in Computer Science, Information Technology, or Mechanical Engineering with strong software skills.
- 3+ years of experience in CPQ modeling, preferably with Tacton CPQ.
- Proficiency in Excel, Python, VBA, or similar scripting tools.
- Experience in data validation, automation, and quality control.
- Understanding of API integration concepts, especially in relation to Tacton CPQ and custom web applications. Ability to debug and support integration-related issues.
- Strong analytical skills and attention to detail.
- Familiarity with Agile methodologies, JIRA, and PLM/ERP systems is a plus.
Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.
**Role Overview**
We are looking for a CPQ Data Modeling & Automation Specialist to join our dynamic team responsible for modeling Xylem products in Tacton CPQ. This role blends engineering knowledge, data modeling expertise, and software automation skills to ensure accurate, scalable, and efficient product configurations.
You'll work closely with technical documentation, engineering teams, and business stakeholders to structure product data, implement configuration logic, and support automation initiatives that improve data quality and reduce manual effort.
**Key Responsibilities**
**Product Modeling & Configuration**
- Gather product requirements from engineering documents, brochures, and engineering documents.
- Structure and model product data in Tacton CPQ using constraints, rules, and dependencies.
- Design user-friendly configuration interfaces and implement smart part number logic.
**Automation & Quality Assurance**
- Develop scripts/tools (e.g., Python, VBA) to automate data validation and error detection.
- Build workflows to streamline data loading and testing processes.
- Support internal and external flow testing and QA automation.
**Data Integration & Management**
- Collect and organize material, motor, and dimensional data into the product database, and ensure it is properly integrated with the product configuration system. The data should dynamically respond to user selections during the configuration process, displaying only relevant options based on chosen parameters.
- Collaborate with pricing teams to integrate IPL tables and dynamic pricing modules.
**Support & Collaboration**
- Work cross-functionally with Engineering, Marketing, and Product Management.
- Collaborate with integration teams and support API-based communication between Tacton CPQ and custom web applications. Assist in debugging and resolving integration-related issues from a modeling perspective.
**Qualifications**
- Bachelor's degree in Computer Science, Information Technology, or Mechanical Engineering with strong software skills.
- 3+ years of experience in CPQ modeling, preferably with Tacton CPQ.
- Proficiency in Excel, Python, VBA, or similar scripting tools.
- Experience in data validation, automation, and quality control.
- Understanding of API integration concepts, especially in relation to Tacton CPQ and custom web applications. Ability to debug and support integration-related issues.
- Strong analytical skills and attention to detail.
- Familiarity with Agile methodologies, JIRA, and PLM/ERP systems is a plus.
Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.
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1
Data Engineer - Snowflake, Data Modeling/Pipelines, Orchestration, Exp: 4-8 Yrs
Bangalore
Cisco
Posted 4 days ago
Job Viewed
Job Description
**Meet the Team**
Join a dynamic and impactful team responsible for the critical sales applications (My Business Reports (MBR), Intelligence center, One Sales BO (OSBO), and Visibility) that drive Cisco's success. This team is at the forefront of leveraging data to provide unparalleled insights into sales performance, operational efficiency, and market visibility through AI-led data management and analysis. You will collaborate with dedicated professionals who are passionate about transforming data into actionable intelligence.
**Your Impact**
- Build Data Pipelines to ingest data into Snowflake and lead data access on snowflake
- Define and advocate standard processes for **AI-led data storage and analysis** within Snowflake.
- Review the Data Modeling practices
- Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs
- Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.
- Support other allied architecture and integration activities. Assist in developing documentation around system integration, data flows, data dictionary, user guides and standard processes.
- Experience using tech solutions like Git, Gradle, Airflow, and Kubernetes to craft & deploy apps and jobs on cloud-hosted services
**Minimum Qualifications**
- Bachelors degree or equivalent 4-8 years related experience
- Experience using Python and SQL
- Experience with Building Data Pipelines in Python
- Experience with any Cloud Data Warehouse either as an Administrator or a Developer
**Preferred Qualifications**
- Proficiency in data modeling, data design, SQL, and NoSQL databases
- Proven background in algorithms and data structures
- Experience working with PII and GDPR data
- Proven communication and partnership contribute to multi-functional teams.
**Who You'll Work With**
You will be an integral part of the My Business Reports (MBR), Visibility and OSBO team, working alongside a group of passionate and highly skilled professionals who consistently go above and beyond to meet ambitious targets and deliverables. In the MBR team, we thrive on challenges, and you will have the opportunity to collaborate with experts across the product's tech stack, including data scientists and AI specialists.
You will collaborate with cross-functional teams, including product management, data engineering, business analysts, and senior leadership, to drive the design and implementation of high-impact, AI-powered data solutions.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Join a dynamic and impactful team responsible for the critical sales applications (My Business Reports (MBR), Intelligence center, One Sales BO (OSBO), and Visibility) that drive Cisco's success. This team is at the forefront of leveraging data to provide unparalleled insights into sales performance, operational efficiency, and market visibility through AI-led data management and analysis. You will collaborate with dedicated professionals who are passionate about transforming data into actionable intelligence.
**Your Impact**
- Build Data Pipelines to ingest data into Snowflake and lead data access on snowflake
- Define and advocate standard processes for **AI-led data storage and analysis** within Snowflake.
- Review the Data Modeling practices
- Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs
- Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.
- Support other allied architecture and integration activities. Assist in developing documentation around system integration, data flows, data dictionary, user guides and standard processes.
- Experience using tech solutions like Git, Gradle, Airflow, and Kubernetes to craft & deploy apps and jobs on cloud-hosted services
**Minimum Qualifications**
- Bachelors degree or equivalent 4-8 years related experience
- Experience using Python and SQL
- Experience with Building Data Pipelines in Python
- Experience with any Cloud Data Warehouse either as an Administrator or a Developer
**Preferred Qualifications**
- Proficiency in data modeling, data design, SQL, and NoSQL databases
- Proven background in algorithms and data structures
- Experience working with PII and GDPR data
- Proven communication and partnership contribute to multi-functional teams.
**Who You'll Work With**
You will be an integral part of the My Business Reports (MBR), Visibility and OSBO team, working alongside a group of passionate and highly skilled professionals who consistently go above and beyond to meet ambitious targets and deliverables. In the MBR team, we thrive on challenges, and you will have the opportunity to collaborate with experts across the product's tech stack, including data scientists and AI specialists.
You will collaborate with cross-functional teams, including product management, data engineering, business analysts, and senior leadership, to drive the design and implementation of high-impact, AI-powered data solutions.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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Apply Now
2
Senior Global Product Manager, Digital Modeling & Data Products
Bangalore
Danaher Corporation
Posted 4 days ago
Job Viewed
Job Description
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, one of Danaher's ( 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System ( which makes everything possible.
The Senior Global Product Manager, Digital Modelling & Data Products is responsible for the strategic direction, lifecycle management, and commercial performance of Cytiva's GoSilico mechanistic modelling and process simulation portfolio. This role sits within the Clinical Programs platform and serves as the commercial owner of a growing digital and software portfolio that enables customers to accelerate process development, optimize manufacturing workflows, and reduce time-to-clinic through in-silico modelling and data-driven decision-making.
As Cytiva's digital and data-driven strategy evolves, this role will execute initiatives that leverage proprietary data, digital tools, and data-driven service models to drive design-in and customer adoption at scale. This includes the productization and commercialization of data libraries, digital tech transfer packages, analytics-enabled services, and other data-as-product offerings that emerge from the broader Digital Modelling roadmap.
As an experienced Senior Global Product Manager, you will operate independently with strategic autonomy, delivering business results and owning the portfolio roadmap while actively contributing to the Clinical Programs' strategy. You will be expected to develop and execute product strategies that drive revenue growth, margin improvement, and customer adoption and collaborate with marketing to formulate the tactics. You will serve as a key interface between R&D, data science, commercial teams, and external partners-translating complex technical and data-driven capabilities into customer value and competitive differentiation.
While the initial focus of this role is on the GoSilico portfolio, the position is designed to grow in scope as Cytiva's digital, data, and software product strategy evolves. The successful candidate will bring the breadth of perspective and adaptability needed to shape how digital tools, data products, and platforms are positioned, commercialized, and integrated across Cytiva's broader service and product ecosystem.
This position reports to the Director of Product Management and is part of the Clinical Programs Portfolio & Commercial Ops team located in Bangalore and will be an on-site role.
What you will do:
+ Life Cycle Management: Own the end-to-end GoSilico product lifecycle-roadmap, feature prioritization, release planning, versioning, and end-of-life-expanding over time to the broader digital and data product portfolio.
+ Market Work & Customer Insight: Execute qualitative and quantitative VOC-including for emerging data and digital service concepts-build customer segmentation and personas, monitor competitive activity, and evaluate innovation opportunities through NPD or open-innovation partnerships.
+ Data-Driven Initiative Execution: Lead the productization and commercialization of data-driven offerings emerging from the Digital Modelling roadmap. Define product requirements, work with R&D and data science teams, build commercial positioning, and own initiative-level P&L.
+ Ecosystem & Stakeholder Engagement: Build cross-functional relationships across and within Cytiva and Danaher business unit functions including R&D, Data Science, Scientific Excellence, Fast Trak, Commercial, and Site Leadership; serve as a trusted advisor on digital tools and data products, and their positioning within customers' bioprocess development workflows.
+ Commercial Enablement & Value Selling: Develop and deploy value selling materials, positioning guides, and training programs that equip the commercial team to identify opportunities within customer workflows and confidently articulate the value of both software products and data-driven services in context.
Who you are:
+ Min. Bachelor's degree in Business, Marketing or related life science discipline
+ Multiple years of combined experience in practical bioprocess applications, marketing, and product management roles in the biopharmaceutical industry
+ Experience working with or adjacent to data engineering, digital product, or data science teams in a product management or commercial capacity
+ Demonstrated ability to translate technical or data-driven capabilities into commercial offerings with clear customer value
Travel Requirements:
+ Up to 30% domestic and international travelling
It would be a plus if you also possess previous experience in:
+ Strong understanding of bioprocessing, ideally chromatography, including how customers qualify and adopt digital deliverables within regulated environments (e.g., 21 CFR Part 11, GMP)
+ Comfort managing products where data or digital content - not just software functionality - is the core deliverable, including familiarity with data governance principles such as anonymization, data ownership, IP, and compliance frameworks
+ Experience with subscription, access-based, or data-as-a-service commercial models
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, one of Danaher's ( 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System ( which makes everything possible.
The Senior Global Product Manager, Digital Modelling & Data Products is responsible for the strategic direction, lifecycle management, and commercial performance of Cytiva's GoSilico mechanistic modelling and process simulation portfolio. This role sits within the Clinical Programs platform and serves as the commercial owner of a growing digital and software portfolio that enables customers to accelerate process development, optimize manufacturing workflows, and reduce time-to-clinic through in-silico modelling and data-driven decision-making.
As Cytiva's digital and data-driven strategy evolves, this role will execute initiatives that leverage proprietary data, digital tools, and data-driven service models to drive design-in and customer adoption at scale. This includes the productization and commercialization of data libraries, digital tech transfer packages, analytics-enabled services, and other data-as-product offerings that emerge from the broader Digital Modelling roadmap.
As an experienced Senior Global Product Manager, you will operate independently with strategic autonomy, delivering business results and owning the portfolio roadmap while actively contributing to the Clinical Programs' strategy. You will be expected to develop and execute product strategies that drive revenue growth, margin improvement, and customer adoption and collaborate with marketing to formulate the tactics. You will serve as a key interface between R&D, data science, commercial teams, and external partners-translating complex technical and data-driven capabilities into customer value and competitive differentiation.
While the initial focus of this role is on the GoSilico portfolio, the position is designed to grow in scope as Cytiva's digital, data, and software product strategy evolves. The successful candidate will bring the breadth of perspective and adaptability needed to shape how digital tools, data products, and platforms are positioned, commercialized, and integrated across Cytiva's broader service and product ecosystem.
This position reports to the Director of Product Management and is part of the Clinical Programs Portfolio & Commercial Ops team located in Bangalore and will be an on-site role.
What you will do:
+ Life Cycle Management: Own the end-to-end GoSilico product lifecycle-roadmap, feature prioritization, release planning, versioning, and end-of-life-expanding over time to the broader digital and data product portfolio.
+ Market Work & Customer Insight: Execute qualitative and quantitative VOC-including for emerging data and digital service concepts-build customer segmentation and personas, monitor competitive activity, and evaluate innovation opportunities through NPD or open-innovation partnerships.
+ Data-Driven Initiative Execution: Lead the productization and commercialization of data-driven offerings emerging from the Digital Modelling roadmap. Define product requirements, work with R&D and data science teams, build commercial positioning, and own initiative-level P&L.
+ Ecosystem & Stakeholder Engagement: Build cross-functional relationships across and within Cytiva and Danaher business unit functions including R&D, Data Science, Scientific Excellence, Fast Trak, Commercial, and Site Leadership; serve as a trusted advisor on digital tools and data products, and their positioning within customers' bioprocess development workflows.
+ Commercial Enablement & Value Selling: Develop and deploy value selling materials, positioning guides, and training programs that equip the commercial team to identify opportunities within customer workflows and confidently articulate the value of both software products and data-driven services in context.
Who you are:
+ Min. Bachelor's degree in Business, Marketing or related life science discipline
+ Multiple years of combined experience in practical bioprocess applications, marketing, and product management roles in the biopharmaceutical industry
+ Experience working with or adjacent to data engineering, digital product, or data science teams in a product management or commercial capacity
+ Demonstrated ability to translate technical or data-driven capabilities into commercial offerings with clear customer value
Travel Requirements:
+ Up to 30% domestic and international travelling
It would be a plus if you also possess previous experience in:
+ Strong understanding of bioprocessing, ideally chromatography, including how customers qualify and adopt digital deliverables within regulated environments (e.g., 21 CFR Part 11, GMP)
+ Comfort managing products where data or digital content - not just software functionality - is the core deliverable, including familiarity with data governance principles such as anonymization, data ownership, IP, and compliance frameworks
+ Experience with subscription, access-based, or data-as-a-service commercial models
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .
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3
Senior Computational Scientist (Data Modeling)
380001 Ahmedabad / Remote
Placements24
Posted 4 days ago
Job Viewed
Job Description
About the Role Our client, a leading technology firm specializing in advanced data analytics and artificial intelligence solutions, is seeking a highly skilled Senior Computational Scientist with expertise in data modeling. This role is based in Ahmedabad, Gujarat , a rapidly growing center for innovation. You will be instrumental in developing and implementing sophisticated computational models to extract actionable insights from large, complex datasets across various domains, including finance, healthcare, and consumer goods. This is a unique opportunity to work on challenging projects, leverage cutting-edge technologies, and contribute to the development of intelligent systems. Our client is committed to fostering a collaborative and intellectually stimulating work environment, providing ample opportunities for professional growth and career advancement. We are looking for an individual with a strong quantitative background, exceptional programming skills, and a proven ability to translate complex problems into data-driven solutions. The hybrid work model allows for both focused independent work and effective team collaboration. Key Responsibilities
- Design, develop, and implement advanced computational models and algorithms for data analysis and prediction.
- Apply machine learning, statistical modeling, and data mining techniques to large datasets.
- Collaborate with cross-functional teams to understand business requirements and translate them into data modeling solutions.
- Evaluate and benchmark model performance, iterating to improve accuracy and efficiency.
- Develop robust data pipelines for data ingestion, preprocessing, and feature engineering.
- Communicate complex findings and model insights clearly to technical and non-technical stakeholders.
- Stay abreast of the latest research and advancements in computational science, machine learning, and data science.
- Contribute to the development of internal tools and platforms for data science workflows.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in computational science, data science, or a related role involving advanced data modeling.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms (supervised and unsupervised), and deep learning concepts.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Proven ability to work with large and complex datasets, including data cleaning and preprocessing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for effectively conveying technical information.
- Ability to work independently and manage projects effectively.
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4
Job Description
**Role Overview**
**We are seeking a Data Modeler to design, develop, and maintain high‑quality conceptual, logical, and physical data models that support analytics, reporting, AI/ML, and GenAI use cases. This role partners closely with data engineers, governance teams, analytics, and business stakeholders to ensure data structures are scalable, performant, governed, and aligned with business semantics across AWS and Azure data platforms.**
**Key Responsibilities**
**Data Modeling & Design**
**Design and maintain conceptual, logical, and physical data models to support enterprise analytics, reporting, and AI use cases.**
**Develop dimensional, relational, and hybrid models (e.g., star, snowflake, data vault where applicable).**
**Translate business requirements into well‑structured, reusable data models.**
**Ensure data models support both batch and near‑real‑time use cases.**
**Cloud Data Platforms & Analytics**
**Design data models optimized for Snowflake, including performance, scalability, and cost efficiency.**
**Partner with data engineering teams to implement models in Databricks (Spark) environments.**
**Support cloud data storage solutions such as S3 and ADLS Gen2.**
**Ensure models align with analytics and BI consumption patterns.**
**Data Integration & Transformation Alignment**
**Collaborate with data engineers to ensure data pipelines correctly populate and maintain models.**
**Define source‑to‑target mappings and transformation logic.**
**Ensure consistency of data definitions across source systems and downstream consumers.**
**AI / ML & Advanced Analytics Enablement**
**Design data and feature models that support ML and GenAI workloads using SageMaker and Amazon Bedrock.**
**Partner with data scientists to ensure feature usability, consistency, and lineage.**
**Enable explainability, traceability, and reuse of data assets for AI initiatives.**
**Data Governance & Quality**
**Work closely with data governance teams to align models with:**
**Business glossaries**
**Metadata and lineage standards**
**Data quality rules and validation checks**
**Ensure models reflect data ownership, domain boundaries, and stewardship responsibilities.**
**Documentation & Standards**
**Maintain comprehensive documentation for data models, definitions, and relationships.**
**Contribute to modeling standards, best practices, and design guidelines.**
**Support impact analysis for changes to data structures.**
**Collaboration & Stakeholder Engagement**
**Engage with business users, analysts, and product owners to validate data requirements.**
**Support analytics and reporting teams in understanding and using data models effectively.**
**Act as a subject matter expert for enterprise data structures.**
**Required Skills & Experience**
**Technical Skills**
**Strong expertise in data modeling concepts (conceptual, logical, physical).**
**Proficiency in SQL; familiarity with Python is a plus.**
**Hands‑on experience with Snowflake data modeling and performance optimization.**
**Experience working with Databricks / Spark‑based data platforms.**
**Understanding of cloud data architectures on AWS and/or Azure.**
**Familiarity with data integration, ETL/ELT processes, and analytics workloads.**
**Understanding of data needs for AI/ML and GenAI platforms (SageMaker, Bedrock).**
**Soft Skills**
**Strong analytical and problem‑solving skills.**
**Ability to translate complex business concepts into clear data structures.**
**Excellent communication skills with both technical and non‑technical stakeholders.**
**Detail‑oriented with a focus on data consistency and usability.**
**Education Requirements**
**Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.**
**Master's degree is a plus.**
**Experience Requirements**
**5+ years of experience in data modeling, analytics engineering, or related roles.**
**3+ years supporting enterprise‑scale data platforms in cloud environments.**
**Experience modeling data for analytics, reporting, and AI use cases.**
**Preferred Qualifications**
**Experience in regulated industries (e.g., healthcare, life sciences, finance).**
**Familiarity with data governance, metadata, and lineage tools.**
**Experience with large, complex data ecosystems and multi‑domain modeling.**
**Exposure to real‑time or event‑driven architectures.**
**We are seeking a Data Modeler to design, develop, and maintain high‑quality conceptual, logical, and physical data models that support analytics, reporting, AI/ML, and GenAI use cases. This role partners closely with data engineers, governance teams, analytics, and business stakeholders to ensure data structures are scalable, performant, governed, and aligned with business semantics across AWS and Azure data platforms.**
**Key Responsibilities**
**Data Modeling & Design**
**Design and maintain conceptual, logical, and physical data models to support enterprise analytics, reporting, and AI use cases.**
**Develop dimensional, relational, and hybrid models (e.g., star, snowflake, data vault where applicable).**
**Translate business requirements into well‑structured, reusable data models.**
**Ensure data models support both batch and near‑real‑time use cases.**
**Cloud Data Platforms & Analytics**
**Design data models optimized for Snowflake, including performance, scalability, and cost efficiency.**
**Partner with data engineering teams to implement models in Databricks (Spark) environments.**
**Support cloud data storage solutions such as S3 and ADLS Gen2.**
**Ensure models align with analytics and BI consumption patterns.**
**Data Integration & Transformation Alignment**
**Collaborate with data engineers to ensure data pipelines correctly populate and maintain models.**
**Define source‑to‑target mappings and transformation logic.**
**Ensure consistency of data definitions across source systems and downstream consumers.**
**AI / ML & Advanced Analytics Enablement**
**Design data and feature models that support ML and GenAI workloads using SageMaker and Amazon Bedrock.**
**Partner with data scientists to ensure feature usability, consistency, and lineage.**
**Enable explainability, traceability, and reuse of data assets for AI initiatives.**
**Data Governance & Quality**
**Work closely with data governance teams to align models with:**
**Business glossaries**
**Metadata and lineage standards**
**Data quality rules and validation checks**
**Ensure models reflect data ownership, domain boundaries, and stewardship responsibilities.**
**Documentation & Standards**
**Maintain comprehensive documentation for data models, definitions, and relationships.**
**Contribute to modeling standards, best practices, and design guidelines.**
**Support impact analysis for changes to data structures.**
**Collaboration & Stakeholder Engagement**
**Engage with business users, analysts, and product owners to validate data requirements.**
**Support analytics and reporting teams in understanding and using data models effectively.**
**Act as a subject matter expert for enterprise data structures.**
**Required Skills & Experience**
**Technical Skills**
**Strong expertise in data modeling concepts (conceptual, logical, physical).**
**Proficiency in SQL; familiarity with Python is a plus.**
**Hands‑on experience with Snowflake data modeling and performance optimization.**
**Experience working with Databricks / Spark‑based data platforms.**
**Understanding of cloud data architectures on AWS and/or Azure.**
**Familiarity with data integration, ETL/ELT processes, and analytics workloads.**
**Understanding of data needs for AI/ML and GenAI platforms (SageMaker, Bedrock).**
**Soft Skills**
**Strong analytical and problem‑solving skills.**
**Ability to translate complex business concepts into clear data structures.**
**Excellent communication skills with both technical and non‑technical stakeholders.**
**Detail‑oriented with a focus on data consistency and usability.**
**Education Requirements**
**Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.**
**Master's degree is a plus.**
**Experience Requirements**
**5+ years of experience in data modeling, analytics engineering, or related roles.**
**3+ years supporting enterprise‑scale data platforms in cloud environments.**
**Experience modeling data for analytics, reporting, and AI use cases.**
**Preferred Qualifications**
**Experience in regulated industries (e.g., healthcare, life sciences, finance).**
**Familiarity with data governance, metadata, and lineage tools.**
**Experience with large, complex data ecosystems and multi‑domain modeling.**
**Exposure to real‑time or event‑driven architectures.**
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5
Job Description
**Job Title:** Data Modeler - Workday & People Analytics
**Job Location:** Hyderabad
**Job Type:** Fulltime
We are looking for an experienced Data Modeler with deep expertise in Workday data, HR data modelling, and People Analytics. The ideal candidate will design and maintain enterprise-grade data models that enable strategic workforce reporting, advanced analytics, and AI-driven insights. This role requires close collaboration with HR, People Analytics, Data Engineering, Data Governance, and Business Intelligence teams to build scalable and governed data solutions.
The successful candidate should have strong technical expertise in Workday HCM data structures, dimensional modelling, cloud data platforms, and modern analytics technologies.
As a Data Modeler within the Digital P&C team, you will design and maintain the data architecture that powers our People analytics and HR insights at a global scale. You will translate complex business needs into robust, high-performance data models - enabling smarter, faster, and more impactful decisions that touch millions of lives. This is your opportunity to Play to Win in a team that is data-obsessed, globally minded, and driven by purpose.
About the Job
**Main Responsibilities:**
+ Design enterprise data models for Workday Human Capital Management (HCM) and People Analytics.
+ Develop conceptual, logical, and physical data models supporting workforce reporting and analytics.
+ Build scalable dimensional models (Star Schema and Snowflake Schema) optimized for analytics.
+ Define data relationships, hierarchies, business rules, and metadata standards.
+ Collaborate with HR stakeholders to understand reporting and workforce planning requirements.
+ Translate business requirements into scalable and reusable data models.
+ Work closely with Data Engineering teams to build trusted data products.
+ Design data models supporting workforce planning, recruitment, learning, compensation, performance management, succession planning, and employee lifecycle analytics.
+ Ensure data consistency across multiple HR systems including Workday and other enterprise applications.
+ Perform source-to-target mapping and define transformation logic.
+ Drive data quality, master data management, and governance initiatives.
+ Establish standards for data modelling, naming conventions, documentation, and lineage.
+ Support implementation of security models, including role-based access and sensitive HR data protection.
+ Partner with BI teams to optimize datasets for Power BI and other reporting platforms.
+ Optimize analytical models for performance and scalability within cloud data warehouses.
+ Participate in solution architecture, design reviews, and governance forums.
+ Mentor junior data modelers and contribute to enterprise data architecture best practices.
About You
**Functional Skills & Experience**
+ Strong understanding of Workday HCM architecture.
+ Experience with Workday data model and business objects.
+ Experience extracting data from Workday using APIs, Workday Reports or Workday Prism Analytics.
+ Understanding of Workday security and data access model.
+ Proven experience in data warehouse modelling and optimization
+ Solid knowledge of relational and non-relational databases, data architecture, and SQL
+ Strong understanding of Data Warehouse concepts: Kimball and Inmon methodologies
+ Experience with data modelling tools such as SQL Database Modeler, IBM InfoSphere, or Erwin Data Modeler
+ Ability to mentor and share knowledge with fellow Data Modelers and Data Architects
+ Experience collaborating across cross-functional teams to solve complex data architecture challenges
+ Comfortable working in agile/scrum environments and managing multiple priorities
+ Able to thrive in a fast-paced, matrix organization with a global footprint
+ Strong analytical and problem-solving skills with sharp attention to detail
+ Excellent communication skills - able to convey technical concepts clearly to both peers and senior stakeholders
+ Pragmatic, service-oriented, and a collaborative team player
+ Fluent in English (additional languages are a plus)
**Technical Skills & Qualifications**
+ Bachelor's degree or equivalent in Computer Science, Engineering, Data Modelling, or a related field
+ Background in data modelling, data engineering, data warehousing, business intelligence, or analytics with hands-on experience with relevant tools (e.g., Informatica/IICS)
+ Solid understanding of data structures and algorithms
+ Familiarity with data model requirements for Power BI or similar reporting platforms
+ Experience with cloud-based data platforms (Informatica IICS / Snowflake is a plus)
+ Strong SQL skills and knowledge of both relational and non-relational database technologies
+ Experience working with:
+ Power BI or Tableau
+ Workday Prism Analytics
+ Workday Reporting
+ Workforce Dashboards
+ Executive HR Dashboards
+ Self-Service Analytics
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
We are an R&D driven, AI-powered biopharma company committed to improving people's lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people's lives.
We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world.
Discover more about us visiting or via our movie We are Sanofi ( a career that makes a difference.
Reinvention is in our DNA. It's what drove our evolution from a small French enterprise to one of the world's leading biopharma companies. Whether it's using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities.
This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people's lives.
**Job Location:** Hyderabad
**Job Type:** Fulltime
We are looking for an experienced Data Modeler with deep expertise in Workday data, HR data modelling, and People Analytics. The ideal candidate will design and maintain enterprise-grade data models that enable strategic workforce reporting, advanced analytics, and AI-driven insights. This role requires close collaboration with HR, People Analytics, Data Engineering, Data Governance, and Business Intelligence teams to build scalable and governed data solutions.
The successful candidate should have strong technical expertise in Workday HCM data structures, dimensional modelling, cloud data platforms, and modern analytics technologies.
As a Data Modeler within the Digital P&C team, you will design and maintain the data architecture that powers our People analytics and HR insights at a global scale. You will translate complex business needs into robust, high-performance data models - enabling smarter, faster, and more impactful decisions that touch millions of lives. This is your opportunity to Play to Win in a team that is data-obsessed, globally minded, and driven by purpose.
About the Job
**Main Responsibilities:**
+ Design enterprise data models for Workday Human Capital Management (HCM) and People Analytics.
+ Develop conceptual, logical, and physical data models supporting workforce reporting and analytics.
+ Build scalable dimensional models (Star Schema and Snowflake Schema) optimized for analytics.
+ Define data relationships, hierarchies, business rules, and metadata standards.
+ Collaborate with HR stakeholders to understand reporting and workforce planning requirements.
+ Translate business requirements into scalable and reusable data models.
+ Work closely with Data Engineering teams to build trusted data products.
+ Design data models supporting workforce planning, recruitment, learning, compensation, performance management, succession planning, and employee lifecycle analytics.
+ Ensure data consistency across multiple HR systems including Workday and other enterprise applications.
+ Perform source-to-target mapping and define transformation logic.
+ Drive data quality, master data management, and governance initiatives.
+ Establish standards for data modelling, naming conventions, documentation, and lineage.
+ Support implementation of security models, including role-based access and sensitive HR data protection.
+ Partner with BI teams to optimize datasets for Power BI and other reporting platforms.
+ Optimize analytical models for performance and scalability within cloud data warehouses.
+ Participate in solution architecture, design reviews, and governance forums.
+ Mentor junior data modelers and contribute to enterprise data architecture best practices.
About You
**Functional Skills & Experience**
+ Strong understanding of Workday HCM architecture.
+ Experience with Workday data model and business objects.
+ Experience extracting data from Workday using APIs, Workday Reports or Workday Prism Analytics.
+ Understanding of Workday security and data access model.
+ Proven experience in data warehouse modelling and optimization
+ Solid knowledge of relational and non-relational databases, data architecture, and SQL
+ Strong understanding of Data Warehouse concepts: Kimball and Inmon methodologies
+ Experience with data modelling tools such as SQL Database Modeler, IBM InfoSphere, or Erwin Data Modeler
+ Ability to mentor and share knowledge with fellow Data Modelers and Data Architects
+ Experience collaborating across cross-functional teams to solve complex data architecture challenges
+ Comfortable working in agile/scrum environments and managing multiple priorities
+ Able to thrive in a fast-paced, matrix organization with a global footprint
+ Strong analytical and problem-solving skills with sharp attention to detail
+ Excellent communication skills - able to convey technical concepts clearly to both peers and senior stakeholders
+ Pragmatic, service-oriented, and a collaborative team player
+ Fluent in English (additional languages are a plus)
**Technical Skills & Qualifications**
+ Bachelor's degree or equivalent in Computer Science, Engineering, Data Modelling, or a related field
+ Background in data modelling, data engineering, data warehousing, business intelligence, or analytics with hands-on experience with relevant tools (e.g., Informatica/IICS)
+ Solid understanding of data structures and algorithms
+ Familiarity with data model requirements for Power BI or similar reporting platforms
+ Experience with cloud-based data platforms (Informatica IICS / Snowflake is a plus)
+ Strong SQL skills and knowledge of both relational and non-relational database technologies
+ Experience working with:
+ Power BI or Tableau
+ Workday Prism Analytics
+ Workday Reporting
+ Workforce Dashboards
+ Executive HR Dashboards
+ Self-Service Analytics
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
We are an R&D driven, AI-powered biopharma company committed to improving people's lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people's lives.
We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world.
Discover more about us visiting or via our movie We are Sanofi ( a career that makes a difference.
Reinvention is in our DNA. It's what drove our evolution from a small French enterprise to one of the world's leading biopharma companies. Whether it's using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities.
This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people's lives.
Is this job a match or a miss?
Apply Now
6
Resource Geologist - Data Analysis & Modeling
248001 Dehradun / Remote
Placements24
Posted 4 days ago
Job Viewed
Job Description
About the Role
Our client, an innovative exploration company, is seeking a talented Resource Geologist with strong skills in data analysis and geological modeling. This role, located in **Dehradun, Uttarakhand, IN**, will focus on integrating diverse geological datasets to generate robust resource estimates for various mineral commodities. The successful candidate will work within a highly collaborative team, utilizing advanced software and methodologies to unlock the potential of our mineral assets. This is an excellent opportunity for a quantitative geologist to contribute significantly to resource definition and mine planning in a dynamic environment.
Key Responsibilities- Compile, validate, and analyze geological data including drill hole data, assays, and geological logs.
- Develop and maintain 3D geological models using industry-standard software packages.
- Perform geological resource estimation using appropriate statistical and geostatistical methods.
- Generate block models, grade control models, and reconcile geological models with production data.
- Prepare comprehensive technical reports, including resource statements compliant with relevant international codes (e.g., JORC, NI 43-101).
- Collaborate with mine planning engineers to provide geological input for mine design and optimization.
- Stay current with advancements in geological modeling software and resource estimation techniques.
- Support exploration targeting by interpreting geological data and models.
- Ensure data integrity and adherence to best practices in geological database management.
- Master's degree or PhD in Geology, Economic Geology, or a related field with a strong quantitative focus.
- Minimum of 5 years of experience in resource estimation and geological modeling.
- Proficiency in geological modeling software such as Leapfrog, Vulcan, or Datamine.
- Strong understanding of geostatistical principles and their application in resource estimation.
- Excellent data analysis and interpretation skills, with a keen eye for detail.
- Experience with database management systems (e.g., SQL) is an advantage.
- Strong written and verbal communication skills.
- Ability to work effectively both independently and as part of a multidisciplinary team.
Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package. We invest in our employees' professional development through continuous training and opportunities for career advancement. This role offers the chance to work on exciting projects and contribute to the strategic growth of a forward-thinking mining company in the **Dehradun** area.
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7
Senior Exploration Geologist - Data Analysis & Modelling
440001 Nagpur / Remote
Placements24
Posted 4 days ago
Job Viewed
Job Description
About the Role Our client, a globally recognized leader in the Mining industry, is actively recruiting a highly analytical Senior Exploration Geologist for their team in Nagpur, Maharashtra . This position is critical for the interpretation of complex geological datasets and the creation of robust 3D models to guide exploration and resource definition efforts. The ideal candidate will possess extensive experience in geological data management, statistical analysis, and the application of advanced modeling software. You will be responsible for integrating diverse datasets, including drillhole data, geophysical surveys, and geochemical results, to identify and characterize potential mineral deposits. This is an exceptional opportunity to contribute to significant exploration projects, leverage cutting-edge technology, and influence strategic geological interpretations. We are seeking a detail-oriented, technically proficient geologist with a passion for uncovering new mineral wealth. The role requires a proactive mindset and the ability to collaborate effectively with field-based geologists and mine planning teams, focusing on the geological potential within and around Nagpur . Key Responsibilities
- Manage and validate geological databases, ensuring data integrity and accessibility.
- Perform statistical analysis of exploration data to identify trends, anomalies, and areas of interest.
- Construct and refine detailed 3D geological models using industry-standard software (e.g., Leapfrog Geo, Vulcan, Micromine).
- Interpret and integrate geological, geochemical, and geophysical data into comprehensive models.
- Generate target definitions and drill recommendations based on modeling outputs.
- Assist in resource estimation and reporting, ensuring compliance with JORC or similar codes.
- Collaborate with senior geologists and management to develop exploration strategies.
- Develop and implement best practices for geological data management and modeling.
- Prepare technical reports and presentations summarizing modeling results and interpretations.
- Support field exploration teams with data analysis and geological interpretation for projects near Nagpur .
- Master's degree in Geology, Geostatistics, or a related Earth Science discipline.
- Minimum of 8 years of experience in geological data analysis, modeling, and resource estimation within the mining or exploration industry.
- Demonstrated expertise in geological modeling software and geostatistical techniques.
- Strong understanding of database management and data quality control procedures.
- Proven ability to interpret and integrate diverse geological datasets.
- Excellent analytical, quantitative, and problem-solving skills.
- Effective communication and presentation skills, with the ability to convey complex technical information.
- Ability to work both independently and collaboratively within a multidisciplinary team.
- Familiarity with exploration geochemistry and geophysics is advantageous.
- Experience with scripting or programming for data analysis (e.g., Python, R) is a plus.
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8