Data Analyst

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success.

We're uniting science, technology, and talent to get ahead of disease together.

Find out more:

Our approach to R&D

Position Summary

In this role you will act as the technical engine of the Analytics & AI pillar, transforming raw R&D Master Data (Project, Product, and Substance) into proactive, actionable intelligence. Utilizing advanced Python programming and deep Power BI expertise, this role operates across a three-sided spectrum: leading complex data preparation, architecting operational dashboards, and supporting the development of predictive AI models. The MDM Data Analyst serves as the critical link between raw system data and the "active radar" tools that empower the E2E Stewardship Hub to work faster and smarter.

Responsibilities

• Advanced Data Preparation & Analysis (Main Focus): Utilize Python/PySpark and SQL to extract, clean, and structure complex R&D master data from multiple enterprise systems (e.g., ERP, PLM, RIM).
• Perform deep-dive data profiling to identify hidden anomalies, root causes of data friction, and recurring quality issues within Project, Product, and Substance domains.
• Power BI Development & Visualization (Main Focus): Design, build, and deploy interactive Power BI dashboards that serve as the daily operational radar for the E2E Data Stewardship Hub and R&D business users
• Write advanced DAX and Python scripts to create complex, performant data models that track data quality SLAs, turnaround times, and system bottlenecks.
• Translate qualitative feedback from Data Stewards and Coordinators into tangible dashboard features that actively reduce their daily manual workload.
• AI Development & Deployment (Support Focus): Support AI/ML engineers by performing feature engineering, structuring training datasets, and writing Python scripts required for predictive modeling.
• Assist in deploying lightweight predictive algorithms (e.g., duplicate detection scripts) directly into the Power BI ecosystem or upstream data preparation layers.
• Compliance & Data Governance: Ensure all analytical models, scripts, and BI dashboards adhere to enterprise data governance policies and GxP documentation standards.

Why You?

Work arrangement: This role is based in Poland and is offered on a hybrid working basis. You will be expected to work on-site part of the week in line with team and business needs.

Basic Qualifications & Skills

• At least bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, a Life Sciences discipline with a strong quantitative focus, or related field
• 3 to 5 years of professional experience in data analytics, BI development, or data engineering.
• Expert knowledge of Power BI and DAX
• Python, PySpark and SQL programming skills
• Data Storytelling: Strong ability to translate dense, scientific data sets into highly intuitive, user-friendly visual interfaces that drive immediate business action.
• Technical Translation: Ability to translate complex scientific data requirements into clear, executable technical specifications for IT developers.
• Analytical Problem Solving: A proactive mindset capable of looking at a messy dataset and independently figuring out how to structure it for both reporting and future machine learning.
• Agile Collaboration: Comfortable working in short, iterative sprints alongside AI engineers, Process Architects, and business stakeholders.
• Fluent English skills

Preferred Qualifications & Skills

• Experience in implementing projects & solutions using Microsoft Azure stack, especially Databricks
• Knowledge of GitHub
• Experience working with master data or R&D data within the Pharmaceutical, Biotech, or Vaccines industry.
• Industry Knowledge: Strong understanding of pharmaceutical data standards, GxP regulations, and ideally exposure to ISO IDMP frameworks.
• Fluency in Polish language

Skills

• Business Data Mining, Data Analysis, Data Analysis Tools, Data Mining, Data Modeling, Data Storytelling, SQL Databases, Statistical Analysis, Structured Query Language (SQL)

Polish Salary Range / Polski przedział wynagrodzenia

PLN 228,000 to PLN 380,000The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate's skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate

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