Johnson & Johnson MedTech
Website:
thenext.jnjmedtech.com
Company:
https://www.linkedin.com/company/johnson-&-johnson-medtech
Seniority: Not Applicable
Industries: Hospitals and Health Care
Job details:
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, Hyderabad, Andhra Pradesh, India, Manila, National Capital, Philippines
Job Description
Johnson & Johnson Services, Inc. is recruiting for a
Senior Data Analyst, People Insights located in India, Bangalore, Hyderabad or Manila, Philippines.
Caring for the world, one person at a time has encouraged and united the people of Johnson & Johnson for over 130 years. We embrace research and science—bringing 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 invent how organizations understand, enable, and support their people at scale, Johnson & Johnson offers the chance to define a lasting impact.
Growing 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. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data & Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not only insight‑led and future‑ready, but a trusted steward of ethical, human‑centered intelligence at scale. Within this ecosystem, People Insights & Advisory Services provides the focused human‑led analytical and advisory capability dedicated to solving the most complex, ambiguous people‑driven business challenges—including the effectiveness and competitiveness of HR programs—while partnering with data science and product teams to convert repeatable insights into scalable decision products.
The
Senior Data Analyst, People Insights is an individual‑contributor role responsible for advanced analytical execution in support of People Insights & Advisory Services. This role focuses on mining, analyzing, and visualizing complex HR and workforce data to surface insights that inform advisory work led by the People Insights & Advisory Services team.
This role plays a critical part in identifying patterns, relationships, and repeatable analytical components across complex people data, applying strong analytical judgment and technical rigor to exploratory and hypothesis‑driven work. The
Senior Data Analyst 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
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
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