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:

Bangalore, Karnataka, India

Job Description:

Johnson & Johnson Services, Inc. is recruiting for a Senior Reporting & Visualization Builder, located in Bangalore.

 

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science—bringing innovative ideas, products and services to advance the health and well-being of people.

 

With a global footprint spanning more than 250 operating companies and a workforce of over 125,000 employees, Johnson & Johnson is uniquely positioned to lead the future of health—and the future of work. If you have the talent and ambition to shape how organizations understand, enable, and support their people at scale, Johnson & Johnson offers the opportunity to make a lasting impact.

 

Thriving on a diverse company culture, we celebrate the uniqueness of our employees and are committed to inclusion. Johnson & Johnson is proud to be an equal opportunity employer.

 

HR Data & Intelligence sits at the heart of Johnson & Johnson’s HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalize enterprise-scale data, analytics, and AI capabilities that do more than inform decisions—they reshape how HR plans, predicts, personalizes, and performs. As HR and business leaders need better ways to inform and answer complex questions about talent and workforce health, the organization is investing in a new generation of decision products designed to support richer exploration, contextual insight, and confident decision‑making in the flow of their day-to-day. Within this organization, the Reporting & Visualization team is responsible for building standardized, enterprise‑grade reporting and visualization assets that form part of the broader HR analytics ecosystem.

 

The Reporting & Visualization Builder is responsible for building and maintaining standardized reporting and visualization assets that form part of the enterprise analytics ecosystem, supporting consistent insight delivery over time. Reporting to the Manager, Reporting & Visualization Lead, this role focuses on the hands‑on development of reports, dashboards, and visual assets across supported analytics platforms.

 

This role designs and builds enterprise‑grade reporting and visualizations across platforms including Visier, Tableau, Power BI, Workday, and Databricks, applying established standards and patterns to ensure clarity, consistency, and reuse. The Reporting & Visualization Builder translates trusted data and analytic outputs into intuitive visual representations used by HR and business audiences.

 

Key Responsibilities:

• Build and maintain enterprise‑grade reports and dashboards across supported platforms, including Visier, Tableau, Power BI, Workday, and Databricks
• Translate curated data products, workforce metrics, and analytics outputs into clear, accurate, and intuitive visualizations
• Apply established visualization standards, templates, and design patterns to ensure consistency, usability, and reuse across reporting assets
• Refine dashboards, address feedback, and improve visual clarity and performance
• Collaborate with Data Science, Data Platform, Data Product, Data Quality, and HR stakeholders to ensure visualizations align to certified data sources and definitions
• Troubleshoot and resolve issues related to data accuracy, performance, or visualization behavior
• Contribute to documentation of reports and dashboards to support reuse and transparency

 

Qualifications

Required:

• Bachelor’s degree in Information Systems, Data, Analytics, Computer Science, or a related field
• 3–5 years of experience building reports and dashboards in enterprise analytics environments
• Hands on experience building visualizations in one or more supported platforms, including Tableau, Power BI, Visier, and Workday reporting
• Experience sourcing or visualizing data from Databricks or modern data platforms
• Strong attention to detail and commitment to data accuracy and visual clarity

 

Preferred:

• Experience supporting enterprise or executive‑level reporting
• Familiarity with visual design, accessibility, and data storytelling best practices
• Experience working with curated datasets or semantic layers
• Experience operating in environments with both operational and analytical reporting models

 

Other:

This position is located in Bangalore full-time and may require up to 10% travel, both domestic and international.

 

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

 

Required Skills:

 

 

Preferred Skills:

Accountability, Advanced Analytics, AI Judgement Integration, Analytical Reasoning, Business Intelligence (BI), Business Requirements Analysis, Communication, Data Analysis, Data Governance, Data Modeling, Data Privacy Standards, Organizing, Problem Solving, Statistical Analysis Systems (SAS) Programming, Systems Development, Technical Credibility, Technical Writing, Workflow Analysis