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. Their mission is to combine technology leadership with retail vision to implement standardized processes and scalable digital products, supporting one of Europe’s largest DIY retailers, advancing internationalization of products and the digital mindset of partners.

• Completed degree in (Business) Informatics, Data Science, Statistics, Business Administration (analytics focus), or comparable field.
• Several years of experience in data analytics, preferably within CRM, loyalty, or marketing environments.
• Strong knowledge of SQL and Python (or R) 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, next-best-action.
• Experience building scalable, production-ready data solutions and collaborating with data engineering teams.
• Strong communication skills in English and Polish.
• Openness to work in hybrid model and visit 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.

CRM & Loyalty Insights:

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

KPI Ownership:

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

Process Automation:

• Transform manual queries and data preparation into automated pipelines (notebooks/workflows) enabling self-service analyses.

AI Integration & Enablement:

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

Experimentation & Optimization:

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