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Senior Data Analyst/Commercial Use Cases @ Bayer
  • Warsaw
Senior Data Analyst/Commercial Use Cases @ Bayer
Warszawa, Warsaw, Masovian Voivodeship, Polska
Bayer
16. 1. 2026
Informacje o stanowisku

For Digital Hub Warsaw, we are looking for:


Senior Data Analyst – Commercial


Are you ready to make a significant impact in the world of data analytics and business intelligence? We are seeking a talented Data Analyst to become a vital part of our dynamic Data Assets, Analytics, and AI Platform at Bayer IT. In this role, you will play a pivotal role in analyzing critical data across market, finance, and product supply domains to support our innovative initiatives.

Our diverse, international team is dedicated to harnessing the power of data to drive informed decision-making and enhance product performance. We pride ourselves on delivering insights that leverage advanced analytics and visualization tools, all powered by a modern tech stack featuring Azure Databricks and Snowflake. If you’re passionate about transforming data into actionable insights and eager to collaborate with a forward-thinking team, we want to hear from you!


  • Masters degree in Statistics, Computer Science, Data Management, Data Science or a related field.
  • 5+ years of experience as a Data Analyst or Data Scientist, preferably within the consumer-packaged goods, FMCG, pharmaceutical or healthcare industry.
  • Business acumen in at least two areas: customer & sales analysis, market & competition analysis, consumer analysis, sales controlling analysis.
  • Familiarity with at least one of the following: CRM systems, Google Analytics, Google Media, Meta Media.
  • Experience with data manipulation and analysis using Azure Databricks, SQL and Python.
  • Familiarity with relational databases (PostgreSQL, MSSQL) and data modelling.
  • Excellent analytical and problem-solving skills with keen attention to detail.
  • Strong communication skills, with the ability to present complex data in a clear and understandable manner.
  • Familiarity with business analysis concepts, including but not limited to requirements elicitation, stakeholder analysis, process documentation
  • Interest and experience with AI tools supporting data analysis and stewardship is a plus.
  • Experience with preparing data for AI solutions (e.g. traditional machine learning models, AI Agents) is a plus.
  • Ability to work collaboratively in a team-oriented environment.
  • Fluent in English, both written and spoken.

For Digital Hub Warsaw, we are looking for:


Senior Data Analyst – Commercial


Are you ready to make a significant impact in the world of data analytics and business intelligence? We are seeking a talented Data Analyst to become a vital part of our dynamic Data Assets, Analytics, and AI Platform at Bayer IT. In this role, you will play a pivotal role in analyzing critical data across market, finance, and product supply domains to support our innovative initiatives.

Our diverse, international team is dedicated to harnessing the power of data to drive informed decision-making and enhance product performance. We pride ourselves on delivering insights that leverage advanced analytics and visualization tools, all powered by a modern tech stack featuring Azure Databricks and Snowflake. If you’re passionate about transforming data into actionable insights and eager to collaborate with a forward-thinking team, we want to hear from you!

,[Partner with business owners, product managers, data scientists, BI developers, and other stakeholders to understand analytics & AI products’ data requirements., Deliver relevant data for consumption in analytics & AI products, ensuring their quality and completeness., Act as a liaison between technical teams and business stakeholders to ensure alignment of goals and deliverables., Analyze complex data sets to extract actionable insights that inform product development and enhancement., Leverage business knowledge in commercial domain (customer, consumer, marketing, media, market and basic financial data) to provide context and recommendations that enhance product strategy., Apply insights and relevant data to help the product team enhance existing features and develop new ones., Create, support, and replicate scalable data structures, including table creation, reporting, and data visualizations to meet team needs., Analyze key performance indicators (KPIs) to identify root causes, uncover interdependencies, forecast trends, and provide actionable insights., Extract, clean, and analyze data from various source systems to ensure high-quality, accurate reporting., Identify trends, patterns, and actionable insights to help stakeholders make data-driven decisions., Document processes, KPIs, and data models to foster knowledge sharing and team alignment., Set up best practices and ensure coordination of data analysis activities for use cases in the commercial space. Requirements: SQL Additionally: Private healthcare, Sport subscription, Free parking, Bike parking.

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