Senior Analyst Business Intelligence UAE National

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 https://www.jnj.com

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Business Intelligence

Job Category

Professional

All Job Posting Locations:

Dubai, United Arab Emirates

Job Description

About MedTech

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

We are searching for the best talent for the Senior Analyst Business Intelligence (UAE National) role based in Dubai, UAE.

Purpose: Lead delivery of business and market insights by preparing/cleansing data, building dashboards, running standard analyses, and owning defined tasks in the in-market sales cadence. Engineer reliable, performant data products (models, pipelines, datasets) that power analytics across MEA and lead like a senior analyst when needed.

You Will Be Responsible For

Data analysis, automation, and reporting

• Extract and analyze data directly from enterprise databases (Artemis, CDL, Azure, SAP, etc.) using SQL/Python; build data models and reusable datasets to support dashboarding and business performance tracking
• Prepare data, run validations, publish outputs on time; maintain issue logs and lessons learned; own small-scope readouts Develop comprehensive reports and presentations that transform complex data into clear, actionable insights
• Write and maintain scripts (SQL/Python) to automate recurring data validation, cleaning, and aggregation workflows
• Build/maintain Power BI reports; manage refresh schedules; document metric definitions and lineage; run UAT with users
• Ensure data quality – reconcile sources; escalate risks with clear reproduction steps; maintain access/role hygiene with governance
  
  

Market intelligence

• Supporting/leading the in-market sales cadence – collecting inputs from distributors, and commercial teams, validating the data, processing & analyzing, generating insights and running action registers through to closure
• Support data ingestion – mapping files, load validations, and post-load checks for distributor files and sales hierarchies under SOPs; support migrations
• Analyze business performance and growth drivers incl. pricing, portfolio, customer health, distributor stock risk, corrective actions and benefit tracking
• Driving Hubble & dashboard adoption for distributors, prioritizing enhancements; templates & glossary; trainings; feedback loops
  
  

Dashboard development

• Develop dashboards to meet business needs and join business readouts; quantify impact of releases
• Lead documentation & enablement: glossary, SOPs, quick guides; draft release notes for updated dashboards; deliver user refreshers
  
  

Qualifications/Requirements

• Bachelor’s degree in Computer Science, Data Science, Business Administration, a related field; Master’s degree preferred
• Experience: 5 to 10 years of experience; hands-on track record building production-grade data/BI systems plus stakeholder leadership
• Experience in Medical Device Industry / Pharma is a plus
• UAE National with a family book.
  
  

Must-have

• BI & Visualization: Power BI (dataset optimization, data modelling & query building), Tableau, QlikView
• Data Querying & Integration: Ability to extract and merge data using SQL and Python from enterprise and cloud platforms (Azure, Artemis, AWS, CRM, SAP)
• Programming & Automation: Python (pandas, PySpark), SQL (advanced), Java; scripting and workflow automation i.e., experience automating data preparation, validation, and reporting processes using Python and workflow orchestration tools (e.g. Airflow, Alteryx, or similar)
• Data Engineering: ETL pipeline design & optimization; data modelling; relational database design & tuning; experience building and maintaining lightweight ETL pipelines, version-controlled in Git, with clear documentation
• Business & Reporting: Business partnering, KPI design
• Productivity: Microsoft 365 – Advanced skills in PowerPoint and Excel
  
  

Preferred

• Business & Reporting: Business partnering, KPI design
• Security & Governance: Security-by-design practices across data solutions
• Cloud & Warehousing: Azure (Databricks, Synapse), AWS Redshift, Google Cloud; BigQuery; Artemis or similar via ODBC/JDBC/APIs for programmatic data access and automation
  
  

Personal Characteristics

• Customer-centric, commercially savvy; translates field realities into data requirements
• Influences without authority; builds trust with Sales, Finance, and HR
• Organized and meticulous; high ownership, follow-through, and audit discipline
• Clear storyteller (verbal/written) with crisp exec narratives
• Change agent; inclusive trainer across cultures; resilient under deadlines; sound judgment/confidentiality Systems thinker with product mindset; balances technical rigor and user needs
• Calm under pressure; decisive in incidents; collaborative, respectful
• Deep business curiosity; challenges assumptions with data
• Rigor and discipline – robust compliance approach, able to see the big picture and work the detail
• Ability to work independently and in a detailed manner
• Sense of urgency, flexibility, goals oriented
• Credo values and behaviors – in all business activities
• Fluent in English, with proficiency in Arabic considered a plus
  
  

Required Skills

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Analytics Dashboards, Business Intelligence (BI), Business Requirements Analysis, Collaborating, Commercial Awareness, Communication, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Management, Detail-Oriented

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