Data, Analytics and IA Manager

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 ...