Data, Analytics and IA Manager

About the job

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Business Intelligence

Job Category: Professional

All Job Posting Locations: Pune, Maharashtra, India

Job Description: We are looking for a Data, Analytics and IA Manager to enable Emerging Markets teams to access, use, and act on trusted data through scalable business intelligence solutions, reporting automation, and data enablement. This role combines hands-on BI development, data engineering, automation, and business partnering. The successful candidate will work closely with Commercial, Finance, Supply Chain, IT, Data Governance, and regional leadership teams to deliver reliable reporting, improve data accessibility, automate manual processes, and support data-driven decision-making across the region. Key Responsibilities The Data, Analytics and IA Manager will be responsible for:

- Design, build, maintain, and continuously improve Power BI dashboards, reports, semantic models, datasets, DAX measures, and Power Query solutions.

- Develop and maintain scalable data pipelines, workflows, and automation solutions using SQL, Oracle SQL, Alteryx, Python, and Microsoft Power Platform.

- Integrate, transform, validate, and manage data from multiple sources, including SAP, JDE, Oracle, SharePoint, Azure, Databricks, and Excel-based datasets.

- Build analytics-ready data models and reporting layers that support commercial, finance, supply chain, strategic account, and leadership reporting needs.

- Optimize reporting solutions for performance, usability, refresh reliability, scalability, and long-term maintainability.

- Monitor, troubleshoot, and resolve data quality issues, refresh failures, reporting discrepancies, access challenges, and automation errors.

- Perform data validation, reconciliation, and root-cause analysis to ensure reporting outputs remain accurate, trusted, and business-ready.

- Automate recurring reporting and business processes to improve efficiency, reduce manual effort, and increase reporting speed and accuracy.

- Maintain and enhance business-critical Excel tools, templates, trackers, and reporting processes while driving the transition to more scalable solutions.

- Enable governed self-service reporting through approved datasets, controlled data-access solutions, Power BI workspaces, and SharePoint repositories.

- Partner with business stakeholders to understand reporting requirements, translate business needs into practical solutions, and provide actionable insights that support decision-making.

- Maintain strong governance, documentation, and reporting standards, including data definitions, KPI logic, ownership, refresh schedules, and change controls. Key Qualifications and Requirements The ideal candidate will have:

- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business, Finance, or a related field; Master’s degree preferred.

- 7+ years of experience in business intelligence, BI development, reporting automation, data engineering, analytics, or data enablement roles.

- Strong hands-on expertise in Power BI, including dashboard development, semantic modelling, DAX, Power Query, dataset management, publishing, and performance optimization.

- Advanced SQL and Oracle SQL skills, including data extraction, transformation, reconciliation, troubleshooting, and workflow automation.

- Strong experience with Alteryx and Python for data preparation, automation, validation, tool development, and process improvement.

- Experience working with enterprise data platforms and systems, including SAP, JDE, SharePoint, Azure, Databricks, and Microsoft Power Platform.

- Strong data quality, troubleshooting, governance, and process-control mindset, including experience with validation, reconciliation, documentation, and issue resolution.

- Excellent communication and stakeholder-management skills, with the ability to translate technical concepts into practical business recommendations. Preferred Experience

- Experience in healthcare, MedTech, pharmaceutical, or another regulated commercial environment.

- Experience supporting regional or multi-country organizations.

- Experience working with Commercial Excellence, Sales Force Effectiveness, Finance, Supply Chain, or Strategic Accounts teams.

- Experience managing enterprise reporting environments and governed self-service analytics.

- Experience with APIs, enterprise system integrations, or structured change-management practices. Personal Attributes

- Strong problem-solving and analytical mindset.

- Hands-on, structured, and detail-oriented.

- Comfortable managing multiple priorities and supporting diverse stakeholders.

- Able to combine technical expertise with business understanding and ownership.

- Proactive, collaborative, and focused on continuous improvement.

Required Skills:

Preferred Skills: Advanced Analytics, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Performance Measurement, Process Improvements, Tactical Planning, Team Management, Technical Credibility, Workflow Analysis