12 Data Manipulation jobs in Kochi

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Vadodara, Gujarat, India Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Vadodara, Gujarat, India Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Vadodara, Gujarat, India Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Job Responsibilities:Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures.Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to organization's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time.Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies.Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards.Lead the interface discussions pertaining to master data with different applications Job Requirements:Strong understanding of MDM concepts, principles, and best practices.Over 8 years experience as an MDM technical lead or similar role, with a focus on data quality managementStrong knowledge of data quality frameworks, best practices, tools and techniquesMetadata and Reference Data ManagementExperience with the Fusion Oracle cloud platform is an added advantage.Excellent analytical, problem-solving, and communication skills.Ability to work effectively in cross-functional teams and manage multiple priorities in a dynamic environment.Available to work during 11:30 AM IST – 8.30 PM IST.

Job Responsibilities:

• Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures.
• Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to organization's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time.
• Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies.
• Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards.
• Lead the interface discussions pertaining to master data with different applications

Job Requirements:

• Strong understanding of MDM concepts, principles, and best practices.
• Over 8 years experience as an MDM technical lead or similar role, with a focus on data quality management
• Strong knowledge of data quality frameworks, best practices, tools and techniques
• Metadata and Reference Data Management
• Experience with the Fusion Oracle cloud platform is an added advantage.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in cross-functional teams and manage multiple priorities in a dynamic environment.
• Available to work during 11:30 AM IST – 8.30 PM IST.

Job Responsibilities:

• Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures.
• Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to organization's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time.
• Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies.
• Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards.
• Lead the interface discussions pertaining to master data with different applications

Job Requirements:

• Strong understanding of MDM concepts, principles, and best practices.
• Over 8 years experience as an MDM technical lead or similar role, with a focus on data quality management
• Strong knowledge of data quality frameworks, best practices, tools and techniques
• Metadata and Reference Data Management
• Experience with the Fusion Oracle cloud platform is an added advantage.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in cross-functional teams and manage multiple priorities in a dynamic environment.
• Available to work during 11:30 AM IST – 8.30 PM IST.