Data Analyst (CRM)

OBI Smart Technologies is a joint venture between OBI and Reply Group, responsible for co-designing, building, and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. The company focuses on implementing standardized processes and scalable digital products to support one of Europe’s largest DIY retailers.

• Completed degree in (Business) Informatics, Data Science, Statistics, Business Administration (analytics focus), or a comparable field.
• Several years of experience in data analytics, preferably within CRM, loyalty, or marketing environments.
• Strong knowledge of SQL and Python (or R) working with analytical datasets.
• Experience with BI and data platforms such as Databricks and Looker.
• Understanding of marketing analytics concepts like 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.

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.

CRM & Loyalty Insights:

• Serve as the analytical point of contact for CRM Managers.
• Support planning, selection, and evaluation of CRM campaigns, marketing automation, and customer lifecycle.

KPI Ownership:

• Develop key performance indicators, standard reports, and ad-hoc analyses based on the Customer Data Platform.
• Coordinate with Data Engineering to design analysis datasets.

Process Automation:

• Transform manual queries and data preparation tasks into automated pipelines (notebooks/workflows).
• Enable business departments to conduct self-service analyses.

AI Integration & Enablement:

• Evaluate, test, and implement innovative self-service and AI tools.
• Mentor business departments in the daily use of these tools.

Experimentation & Optimization:

• Support campaigns from hypothesis formulation to statistical evaluation (A/B testing).
• Derive actionable recommendations to increase Customer Lifetime Value (CLV).

Openness to work in hybrid model and visit the Katowice office.