Data Analyst (CRM) (B2B)

Responsibilities

As a Data Analyst focusing on CRM, Loyalty, and Automation, you are the strategic link between complex data structures and operational business units. You will analyze customer behavior within the loyalty program and help the department make data-driven decisions faster and more efficiently. Your focus is on automating data processes and implementing modern AI tools within Databricks and Looker.

• CRM & Loyalty Insights: Act as the analytical point of contact for CRM Managers, supporting the planning, selection, and evaluation of CRM campaigns, marketing automation, and the customer lifecycle.
• KPI Ownership: Develop relevant key performance indicators (KPIs), standard reports, and ad-hoc analyses based on the Customer Data Platform. Coordinate closely with the Data Engineering team to design the required analysis datasets.
• Process Automation: Transform manual queries and data preparation tasks into automated pipelines, notebooks, and workflows, enabling business departments to conduct self-service analyses.
• AI Integration & Enablement: Evaluate, test, and implement innovative self-service and AI tools. Mentor business departments in their daily use.
• Experimentation & Optimization: Support campaigns from hypothesis formulation through statistical evaluation, including A/B testing, and derive actionable recommendations to increase Customer Lifetime Value (CLV).

Qualifications

• Completed degree in (Business) Informatics, Data Science, Statistics, Business Administration with an analytics focus, or a comparable field.
• Several years of experience in data analytics, preferably in CRM, loyalty, or marketing environments.
• Strong knowledge of SQL and Python or R, combined with experience working with analytical datasets.
• Experience with BI and data platforms such as Databricks and Looker.
• Understanding of marketing analytics concepts such as customer lifecycle, segmentation, churn prediction, or next-best-action.
• Experience building scalable, production-ready data solutions and working with data engineering teams.
• Strong communication skills in English and Polish.
• Openness to hybrid work and visits to the Katowice office.

Nice to have

• Experience with AI-driven analytics or marketing automation tools.
• Familiarity with Customer Data Platforms (CDP) and campaign management systems.
• Experience in large-scale e-commerce or omnichannel environments.