Senior Associate / Assistant Manager – Business Analytics & Data

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.

• Partner with Business Units to analyze sales performance, customer trends, product adoption, market development and growth opportunities.
• Turn business questions into structured analyses, insights and practical recommendations.
• Develop analyses that support business reviews and decision-making.

• Analyze inventory, demand, consumption, forecasting, availability and other supply chain metrics.
• Identify trends, exceptions and opportunities requiring action.
• Develop scalable reporting that improves access to information and reduces manual analysis.

• Build, enhance and maintain Power BI dashboards for different business teams.
• Work across Power Query, data modelling, DAX, visualization and dashboard design.
• Support dashboard refreshes, validation, issue resolution and continuous improvement.
• Simplify and automate recurring reporting using Excel, Power BI, Power Query, Power Automate and other appropriate tools.
• Explore AI and GenAI tools to improve analytical productivity and processes.

• Support the management and improvement of customer, product and commercial master data.
• Identify data-quality issues and collaborate with stakeholders to address underlying causes.
• Contribute to clear data definitions, ownership and governance.

• Collaborate with cross-functional teams to understand business needs and analytical requirements.
• Translate analysis into clear insights, implications and potential actions.
• Communicate findings effectively to technical and non-technical stakeholders, including business leaders.

Relevant experience can be gained in different ways. The following skills and experiences will help someone succeed in this role:

• Experience in business analytics, commercial analytics, business intelligence, consulting, supply chain analytics or a related field. Approximately 2–4 years may be helpful for the scope of the role.
• A good foundation in quantitative analysis and problem-solving.
• Experience using Excel to analyze and work with datasets.
• Experience with Power BI, Power Query, data modelling, visualization or DAX, or demonstrated ability and interest in developing these skills.
• Ability to bring structure to business questions where the answer may not be immediately clear.
• Attention to data quality and accuracy.
• Ability to explain analytical findings clearly to different audiences.
• Curiosity about how the business works and an interest in continuous learning.

Data Platform & Engineering 

• Design and Build the Microsoft Fabric data platform - Lakehouse/warehouse, layered structure, pipelines and Dataflows Gen 2
• Integrate data from ERP, Sales, Distributor, Supply Chain and CRM sources into a single trusted model
• Set up workspace structure, deployment pipelines and version controls
• Monitor refreshes, performance and cost, fix failures at the source.

In the Power BI section, add these bullets - 

• Build reusable semantic models (star schema, direct lake) that business team can self serve from
• Tune model and report performance

Must have experience - 

• Data engineering / BI engineering
• Hands on Microsoft Fabric, Azure Data Factory, Databricks
• Strong SQL and data modelling skills

An undergraduate or postgraduate degree, or equivalent relevant experience, providing a foundation for analytical problem-solving.

Relevant areas may include Statistics, Economics, Econometrics, Mathematics, Engineering, Data Science, Analytics, Operations Research, Finance, or other quantitative disciplines.

Candidates from a wide range of institutions, educational pathways and backgrounds are welcome. Relevant skills and experience will be considered alongside formal qualifications.

The following are valuable but not required:

• SQL and/or Python
• Power Automate
• CRM or customer data experience
• Supply chain or commercial analytics experience
• Salesforce or another CRM platform
• Experience in MedTech, healthcare, pharma, FMCG or other data-rich industries
• Familiarity with AI/GenAI tools for analytics and productivity

This role provides broad exposure across commercial, supply chain and data topics, with opportunities to work directly with business teams on meaningful analytical challenges.

As experience grows, the role will take increasing ownership of key dashboards, datasets and analytical initiatives, while building deeper capabilities across business partnering, Power BI, data management, automation and AI-enabled analytics.

Success means becoming a trusted analytics partner to the business: improving the quality and accessibility of data, simplifying reporting and helping teams make better-informed decisions.

Just as importantly, success requires understanding the business question behind the data, collaborating effectively and making insights easier for others to act on.

We value different perspectives, experiences and backgrounds and are committed to an inclusive recruitment experience. Candidates requiring a reasonable accommodation during the recruitment process are encouraged to contact the recruiting team.

Johnson & Johnson Family of Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.