Senior Analyst – Data Analytics and Visualization

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.

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

Pune, Maharashtra, India

Job Description:

Analyst – Data Analytics & Visualization

Job Location - Pune

We are seeking a Analyst – Data Analytics & Visualization to transform complex data and business questions into actionable insights, intuitive analytics products, and compelling visual stories that enable better decision-making.

This role will partner with cross-functional stakeholders across Commercial, Finance, Marketing, Product, Supply Chain, and Operations to understand business priorities, define meaningful KPIs, analyze performance, and design high-quality dashboards and analytical solutions.

The ideal candidate combines strong data analytics and visualization expertise with business acumen, curiosity, and effective storytelling skills. The individual should be equally comfortable working with complex datasets, developing sophisticated Power BI/Tableau solutions, identifying business insights, and communicating recommendations to senior stakeholders.

Key Responsibilities

Data Visualization & Business Intelligence

·       Design and maintain interactive dashboards, scorecards, and analytics solutions using Power BI, Tableau, or similar platforms.

·       Apply visualization, UX, and data storytelling best practices to translate complex data into intuitive, executive-ready insights.

·       Develop effective KPIs, drill-downs, filters, and visual interactions that support business decision-making.

·       Optimize dashboards and data models for performance, scalability, usability, and consistency.

 

Data Analytics & Insights

·       Analyze complex datasets to identify trends, performance drivers, risks, opportunities, and anomalies.

·       Use SQL and Python/R for data extraction, transformation, analysis, validation, and automation.

·       Translate analytical findings into clear business insights, narratives, and actionable recommendations.

·       Convert recurring analysis into scalable dashboards, automated reporting, and self-service analytics.

 

Business Partnership & Requirements

·       Partner with stakeholders to translate business needs into analytics, KPI, and visualization requirements.

·       Define and standardize metrics, calculations, and reporting logic in collaboration with business teams.

·       Communicate insights and recommendations effectively to technical, non-technical, and senior stakeholders.

·       Gather feedback and continuously improve analytics products based on business needs and user adoption.

 

Data Management & Analytics Enablement

·       Develop and maintain data models, transformations, and analytical datasets supporting BI solutions.

·       Partner with data engineering and analytics teams to ensure reliable, scalable, and high-quality data solutions.

·       Support data quality, validation, governance, lineage, and documentation standards.

·       Drive automation, standardization, reusable components, and self-service analytics, while exploring AI-enabled analytics opportunities.

 

Core Technical Skills

• BI & Visualization: Power BI and/or Tableau, dashboard and scorecard design, KPI development, data storytelling, UX and visualization best practices.
• Data & Analytics: Advanced SQL, Python/R, data analysis, data modeling, transformation, ETL/ELT, validation, and analytical problem-solving.
• Data Platforms: Experience with one or more platforms such as AWS/Redshift, Microsoft Azure/Azure SQL, Microsoft Fabric, Databricks, Snowflake, or Oracle.
• Data Governance: Data quality, validation, lineage, metadata, metric definitions, testing, version control, and documentation.
• Emerging Analytics: Exposure to Generative AI, AI-enabled BI, natural-language analytics, automation, or advanced analytics.

 

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 5+ years of experience in Data Analytics, Business Intelligence, Data Visualization
• Advanced hands-on experience with Power BI, Tableau, or similar BI platforms, including dashboard and executive reporting development.
• Strong proficiency in SQL, data analysis, data modeling, and working with complex datasets.
• Experience with Python/R and modern cloud/data platforms such as Azure, AWS, Databricks, Snowflake, or equivalent.
• Strong ability to translate business requirements and complex data into actionable insights, intuitive visualizations, and compelling data stories.
• Excellent analytical, communication, presentation, and stakeholder-management skills.

 

Preferred Qualifications

• Experience developing executive dashboards, scorecards, and self-service analytics solutions in a global, cross-functional environment.
• Experience supporting Commercial, Finance, Marketing, Pricing, Market Intelligence, Supply Chain, Operations, or Product Analytics.
• Exposure to Microsoft Fabric, Databricks, Snowflake, or other modern analytics platforms.
• Exposure to Generative AI, AI-enabled BI, predictive analytics, or advanced analytics.
• Relevant certifications in Power BI, Tableau, cloud, or data analytics technologies.

 

What Success Looks Like

The successful candidate will go beyond producing reports and dashboards. They will:

• Turn complex data into simple, intuitive, and actionable visual insights.
• Help stakeholders understand what happened, why it happened, and where action may be required.
• Build analytics products that are trusted, scalable, reusable, and widely adopted.
• Improve decision-making by combining strong analytics with effective visualization and business storytelling.
• Continuously identify opportunities to automate reporting, simplify analytics, and expand self-service capabilities.

 

Equal Employment Opportunity

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, disability, or other characteristics protected by applicable law.

 

 

Required Skills:

 

 

Preferred Skills:

Accountability, Advanced Analytics, 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