Senior Data Analyst, People Insights

produces high‑quality analytical outputs - including analyses and visualizations - that enable the broader team to translate insights into action and, where appropriate, transition repeatable work into scalable decision products.

Key Responsibilities

• Conduct rigorous, hypothesis-driven analysis of complex workforce, talent, and organizational questions using appropriate statistical and research methods.
• Translate business questions into structured analytical approaches, testable hypotheses, and clearly defined data requirements.
• Use Python, R, SQL, or comparable analytical tools to prepare, integrate, analyze, and validate complex datasets.
• Apply descriptive and inferential statistics, hypothesis testing, regression, segmentation, group comparisons, and trend analysis to identify meaningful patterns and drivers.
• Develop clear, accurate, and decision-relevant analytical outputs, including visualizations, dashboards, and exploratory analyses, using tools such as Python, R, Power BI, or other appropriate analytical platforms.
• Interpret analytical findings within the broader business and organizational context, clearly communicating implications, limitations, and recommended next steps to technical and nontechnical stakeholders.
• Apply machine learning and other advanced analytical techniques when appropriate, while exercising sound judgment about when traditional statistical methods provide a more suitable or interpretable solution.
• Leverage generative AI, AI-assisted coding tools, or similar technologies responsibly to improve analytical efficiency, support data analysis, and accelerate insight generation.
• Develop lightweight prototypes, interactive analytical applications, and decision-support tools using AI-assisted development platforms to enhance insight delivery and stakeholder self-service.
• Identify repeatable analytical patterns, methods, visualizations, or components that can be standardized, automated, or transitioned into scalable decision products in collaboration with data science and product teams.
• Ensure analytical work meets applicable standards for data quality, documentation, privacy, reproducibility, and ethical use of employee data.

Qualifications Required:

• 3-5 years experience applying advanced statistical analysis, research methods, machine learning, and data-driven problem solving to complex business and/or workforce questions.
• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a related quantitative discipline.
• Strong hands-on coding experience using Python, R, SQL, or comparable analytical tools to prepare, analyze, validate, and interpret complex data.
• Demonstrated experience applying statistical analysis and research methods, such as hypothesis testing, regression or related modeling techniques, segmentation, group comparisons, and trend analysis.
• Experience using Power BI or a similar business intelligence platform to create clear, accurate, and actionable data visualizations, dashboards, or analytical views.
• Proven ability to independently work through ambiguous analytical questions, assess data and methodological limitations, and select appropriate analytical approaches.
• Ability to translate complex analyses into clear, concise, and business-relevant findings for technical and nontechnical stakeholders.
• Strong written and verbal communication skills and the ability to connect analytical findings to broader workforce, talent, or business considerations.

Preferred:

• Advanced degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a related quantitative discipline.
• Experience working with HR, workforce, employee listening, talent, or organizational data, including appropriate handling of sensitive employee information.
• Experience applying advanced analytical methods such as text analytics, large language models (LLMs), machine learning, and organizational network analysis (ONA), to complex business, workforce, or organizational challenges.
• Experience using generative AI, GitHub Copilot, or similar AI-enabled tools to support coding, analysis, insight generation, or development of analytics solutions.
• Experience developing lightweight analytical applications, self-service tools, prototypes, or decision-support solutions using APIs, web technologies, low-code platforms, or AI-assisted development tools.
• Experience developing reusable dashboards, visualizations, or analytical solutions that enable ongoing insight generation and decision support.
• Experience partnering with data science, product, or technology teams to transition validated analytical methods or insights into reusable analytics or decision products.

Other: This position is located in Bangalore, India or Hyderabad, India, 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