7,150 Data Professional jobs in India
Data Engineering Professional
Bengaluru, Karnataka
BT Group
Posted today
Job Viewed
Job Description
What you’ll be doing
Leadership accountabilities
you’ll need to succeed
Experience you’d be expected to have :
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0
Data Strategy
Hyderabad, Andhra Pradesh
PepsiCo
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Own the end-to-end product delivery including design, funding, vendor selection, implementation, delivery and BAU with stakeholder management at every step
- Partner with market teams for business engagement, roadmap alignment & finalization, business value articulation, identification of right data sources (including external data), enable integration to local systems for data sourcing as well as for consumption layer, understand audience profile and technology ecosystem to make right platform choices.
- Performs analysis of business and user needs, documenting requirements, Determines a strategy with large amount of data and frame Business problem statement, conclusions and recommendation regarding dynamics, trends, and opportunities
- Mine and analyze the data from such company databases to drive optimization and improvement of product development, marketing techniques and business strategies
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Coordinate with different functional teams to implement models and monitor outcomes.
Skillset
- Knowledge and hands-on experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Decision Trees, text mining, social network analysis, etc.
- Understanding of databases like SQL server, azure, oracle etc and Experience using statistical languages: R, Python, SLQ, etc.
- Experience working with and creating data architectures.
- Understanding about building a data model - like building relationships across datasetsHands-on experience working on text analytics / NLP algorithms like RNN, LSTM etc.
- 1-2 year experience working with unstructured data such as social listening bulk data via sources like Brandwatch, Talkwalker, Sprinklr etc
Qualifications:
- 5+ years of experience at a F&B company, making an impact in a market research/insights/analytics, marketing, competitive intelligence, or other similar function with demonstrated ability to execute projects in a complex environment with multiple constituencies. BA/BSc required (Masters is a plus)
- Experience working with unstructured text data especially social & digital analytics background, along with knowledge and use of current and emerging social networks, experience with visualizing and reporting out data based insights
- Hands On experience in working with qualitative consumer research/social listening tools and generating deep insights.
- Very comfortable in running in depth Consumer research analyses, ability to turn findings into compelling and insightful stories and present them to Business teams.
Business Analytics
- Self-starter strategic thinker: capable of taking broad questions and open briefs and turning them intro a roadmap, outputs and business impact.
- Ability to run consumer research analyses alone by leveraging various available data sources
- Ability to learn quickly new tools and start working in the different ways enabled by these tools
Communication
- Strong verbal and written communication
- Elevated ability to train others on Insights analytics
Organizational Savvy
- Able to influence and work through others to effectively navigate organization while ensuring that necessary stakeholders are informed and educated
- Agility to work across cultures and time zones
- Ability to influence local insights partners in their ways of working
Project Management
- Demonstrated ability to manage projects and overcome challenges; Highly analytical, motivated, decisive with excellent project management skills.
- Proven experience of planning and conducting research projects achieving goals and objectives
- Organized: Capable of juggling multiple projects, priorities, and stakeholders, ensure delivery while proactively managing trade-offs.
- Own the end-to-end product delivery including design, funding, vendor selection, implementation, delivery and BAU with stakeholder management at every step
- Partner with market teams for business engagement, roadmap alignment & finalization, business value articulation, identification of right data sources (including external data), enable integration to local systems for data sourcing as well as for consumption layer, understand audience profile and technology ecosystem to make right platform choices.
- Performs analysis of business and user needs, documenting requirements, Determines a strategy with large amount of data and frame Business problem statement, conclusions and recommendation regarding dynamics, trends, and opportunities
- Mine and analyze the data from such company databases to drive optimization and improvement of product development, marketing techniques and business strategies
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Coordinate with different functional teams to implement models and monitor outcomes.
Skillset
- Knowledge and hands-on experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Decision Trees, text mining, social network analysis, etc.
- Understanding of databases like SQL server, azure, oracle etc and Experience using statistical languages: R, Python, SLQ, etc.
- Experience working with and creating data architectures.
- Understanding about building a data model - like building relationships across datasetsHands-on experience working on text analytics / NLP algorithms like RNN, LSTM etc.
- 1-2 year experience working with unstructured data such as social listening bulk data via sources like Brandwatch, Talkwalker, Sprinklr etc
Qualifications:
- 5+ years of experience at a F&B company, making an impact in a market research/insights/analytics, marketing, competitive intelligence, or other similar function with demonstrated ability to execute projects in a complex environment with multiple constituencies. BA/BSc required (Masters is a plus)
- Experience working with unstructured text data especially social & digital analytics background, along with knowledge and use of current and emerging social networks, experience with visualizing and reporting out data based insights
- Hands On experience in working with qualitative consumer research/social listening tools and generating deep insights.
- Very comfortable in running in depth Consumer research analyses, ability to turn findings into compelling and insightful stories and present them to Business teams.
Business Analytics
- Self-starter strategic thinker: capable of taking broad questions and open briefs and turning them intro a roadmap, outputs and business impact.
- Ability to run consumer research analyses alone by leveraging various available data sources
- Ability to learn quickly new tools and start working in the different ways enabled by these tools
Communication
- Strong verbal and written communication
- Elevated ability to train others on Insights analytics
Organizational Savvy
- Able to influence and work through others to effectively navigate organization while ensuring that necessary stakeholders are informed and educated
- Agility to work across cultures and time zones
- Ability to influence local insights partners in their ways of working
Project Management
- Demonstrated ability to manage projects and overcome challenges; Highly analytical, motivated, decisive with excellent project management skills.
- Proven experience of planning and conducting research projects achieving goals and objectives
- Organized: Capable of juggling multiple projects, priorities, and stakeholders, ensure delivery while proactively managing trade-offs.
This advertiser has chosen not to accept applicants from your region.
1
Data Operations Professional
Pune, Maharashtra
Facile Services Pvt Ltd
Posted 4 days ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
- Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
- Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
- Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
- Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
- Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
- Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
- Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
- Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
- Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
- Hands-on knowledge of SQL and Python for querying, automation, and analytics
- Experience designing and managing data pipelines, database workflows, and structured data warehouses
- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
- Exposure to data integration tools, APIs, or CRM syncing
- Experience working in high-growth environments or startups
This advertiser has chosen not to accept applicants from your region.
2
Data Operations Professional
Pune, Maharashtra
Facile Services Pvt Ltd
Posted 3 days ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
- Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
- Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
- Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
- Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
- Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
- Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
- Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
- Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
- Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
- Hands-on knowledge of SQL and Python for querying, automation, and analytics
- Experience designing and managing data pipelines, database workflows, and structured data warehouses
- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
- Exposure to data integration tools, APIs, or CRM syncing
- Experience working in high-growth environments or startups
This advertiser has chosen not to accept applicants from your region.
3
Data Operations Professional
Pune, Maharashtra
Facile Services Pvt Ltd
Posted 3 days ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
Hands-on knowledge of SQL and Python for querying, automation, and analytics
Experience designing and managing data pipelines, database workflows, and structured data warehouses
Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
Exposure to data integration tools, APIs, or CRM syncing
Experience working in high-growth environments or startups
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
Hands-on knowledge of SQL and Python for querying, automation, and analytics
Experience designing and managing data pipelines, database workflows, and structured data warehouses
Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
Exposure to data integration tools, APIs, or CRM syncing
Experience working in high-growth environments or startups
This advertiser has chosen not to accept applicants from your region.
4
Data Privacy Professional
Gurugram, Uttar Pradesh
r3 Consultant
Posted today
Job Viewed
Job Description
Job Title: Data Privacy Professional
Location: Gurugram
Experience: 10–12 Years
Role Overview:
We are looking for a skilled and proactive Data Privacy Professional with 7–10 years of hands-on experience in reviewing Data Processing Agreements (DPAs), EU/UK Standard Contractual Clauses (SCCs), and implementing global data protection regulations such as GDPR, ISO 27701, DPDPA, and CCPA . The ideal candidate should have a legal academic background with a sound understanding of technical and security controls , enabling a well-rounded approach to data privacy compliance.
Key Responsibilities:
1. Contractual Review & Negotiation
- Review, draft, and negotiate DPAs, EU and UK SCCs. li>Identify and mitigate privacy risks in contracts in collaboration with internal teams.
2. Regulatory Implementation
- Lead or support the implementation of GDPR-compliant processes.
- Conduct gap analyses and align practices with GDPR, DPDPA, and other data protection laws.
3. Legal Advisory
- Advise on data privacy regulations, especially cross-border data transfers.
- Monitor global regulatory updates and assess their business impact.
4. Technical & Security Collaboration
- Partner with IT/security teams to ensure technical and organizational safeguards.
- Recommend privacy-enhancing technologies and best practices for secure data handling.
5. Training & Awareness
- Develop and deliver training on data privacy laws and internal policies.
- Foster a strong culture of privacy and compliance across the organization.
6. Privacy Impact Assessments
- Conduct Data Protection Impact Assessments (DPIAs) for new systems and projects.
- Identify risks and propose mitigation strategies.
Required Qualifications & Skills:
- Bachelor’s or Master’s degree in Law .
- < i>Strong working knowledge of GDPR and global privacy frameworks.
- Understanding of technical/security controls in a privacy context.
- Mandatory certifications: CIPP/E, CIPM, or CIPT .
- Strong communication, negotiation, and analytical skills.
- Experience in cross-functional collaboration.
Preferred Attributes:
- Experience with privacy tools such as OneTrust or TrustArc .
- Familiarity with global privacy laws (e.g., PDPA, PIPL ).
- Detail-oriented with the ability to manage multiple projects simultaneously.
This advertiser has chosen not to accept applicants from your region.
5
Data Operations Professional
Pune, Maharashtra
Facile Services Pvt Ltd
Posted 1 day ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
- Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
- Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
- Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
- Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
- Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
- Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
- Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
- Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
- Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
- Hands-on knowledge of SQL and Python for querying, automation, and analytics
- Experience designing and managing data pipelines, database workflows, and structured data warehouses
- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
- Exposure to data integration tools, APIs, or CRM syncing
- Experience working in high-growth environments or startups
This advertiser has chosen not to accept applicants from your region.
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6
Data Operations Professional
Bengaluru, Karnataka
IBM
Posted today
Job Viewed
Job Description
**Introduction**
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
**Your Role and Responsibilities**
- Partner with internal stakeholders to understand business requirements and translate into technical requirements.
- You will be part of a cross functional team that design, build, deploy, and optimize data pipelines and processes to ingest data from a various data source.
- Work with the team to define epics, functions, and stories/tasks per business initiative at pace and ensure the team has a shared understanding of the content.
- You will develop and code automated processes and algorithms to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
- Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to IBM teams.
- Propagate the strategy of self-service analytics by driving adoption of our tools (Q2C Advisor, Cognos, QRA etc) and gathering requirements to create and expand the coverage of our self-service metrics.
**Required Technical and Professional Expertise**
- Be able to speak and write confidently in English.
- Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution with clients/stakeholders.
- A great team player who excels working with diverse group of colleagues.
- Required Technical Expertise
- 2+ years of experience in Python programming, non-structured and structured databases.
- 2+ years of SQL experience.
- Knowledge and skills in data analytics to examine data sets in order to find trends, draw and visualize insights.
- Excellent problem solving and troubleshooting skills
- Experience with IBM DB2.
- Plus points:
- Experience with ETL tools such as Spark, Airflow etc.
- Experience with Cognos Framework Manager.
- Hands-on experience in cloud deployment technologies and approaches.
**Preferred Technical and Professional Expertise**
- None
**About Business Unit**
The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.
Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It's time to define your career.
**About IBM**
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
**Location Statement**
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
**Your Role and Responsibilities**
- Partner with internal stakeholders to understand business requirements and translate into technical requirements.
- You will be part of a cross functional team that design, build, deploy, and optimize data pipelines and processes to ingest data from a various data source.
- Work with the team to define epics, functions, and stories/tasks per business initiative at pace and ensure the team has a shared understanding of the content.
- You will develop and code automated processes and algorithms to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
- Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to IBM teams.
- Propagate the strategy of self-service analytics by driving adoption of our tools (Q2C Advisor, Cognos, QRA etc) and gathering requirements to create and expand the coverage of our self-service metrics.
**Required Technical and Professional Expertise**
- Be able to speak and write confidently in English.
- Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution with clients/stakeholders.
- A great team player who excels working with diverse group of colleagues.
- Required Technical Expertise
- 2+ years of experience in Python programming, non-structured and structured databases.
- 2+ years of SQL experience.
- Knowledge and skills in data analytics to examine data sets in order to find trends, draw and visualize insights.
- Excellent problem solving and troubleshooting skills
- Experience with IBM DB2.
- Plus points:
- Experience with ETL tools such as Spark, Airflow etc.
- Experience with Cognos Framework Manager.
- Hands-on experience in cloud deployment technologies and approaches.
**Preferred Technical and Professional Expertise**
- None
**About Business Unit**
The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.
Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It's time to define your career.
**About IBM**
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
**Location Statement**
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Strategy Consultant
Noida, Uttar Pradesh
ZS
Posted today
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Job Description
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
Data Strategy Consultant
ZS’s Data Strategy and Partnerships has 2 pillars: First, advising clients on all matters related to Data Strategy. With the explosion of healthcare data and new applications, Data Strategy has emerged as key strategic initiative for many Life Science companies. The team advises clients on operating model, governance data sourcing and generation, data management, value creation, technology enablement and compliance. In close collaboration with the Digital and Technology practice, we help diagnose and roadmap the data strategy journey, design, build and operate strategic capabilities. The second pillar is building relationships and partnerships with a wide range of data providers to enable ZS access and use of the data in innovative offerings and services.
What You’ll Do:
What You’ll Bring:
Additional Skills:
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