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Data Analyst (m/w/d) Analytics - Job Opportunity at REWE Group

Cologne, Germany
Full-time
Mid-level
Posted: August 21, 2025
Hybrid
EUR 55,000 - 70,000 annually based on Cologne market rates for mid-level data analysts in large German corporations, with potential for performance bonuses and comprehensive benefits package that adds approximately 20-25% additional value

Benefits

Comprehensive professional development through specialized academies, tech talks, e-learning platforms, and conference participation to stay current with evolving analytics technologies
Work-life integration support including childcare services, parent-child offices, and eldercare assistance to enable career continuity during life transitions
Wealth-building opportunities through employer-matched savings plans and corporate pension schemes for long-term financial security
Multi-brand employee discounts across REWE retail ecosystem providing tangible value on everyday purchases
Transportation cost reduction through subsidized public transit passes and bicycle leasing programs supporting sustainable commuting
Flexible remote work arrangements without core hours enabling optimal work-life balance and productivity management
Preventive healthcare programs including health screenings, fitness courses, and wellness initiatives to maintain peak performance

Key Responsibilities

Drive transformational Advanced Analytics initiatives that fundamentally reshape decision-making processes across Germany's retail landscape, establishing data-driven culture as a competitive differentiator in the grocery sector
Architect and optimize critical business processes through comprehensive data analysis and visualization, creating operational efficiencies that directly impact bottom-line performance and customer satisfaction
Bridge organizational silos by translating complex analytical insights into actionable business strategies, influencing C-suite decisions and departmental priorities across multiple management levels
Pioneer innovation in retail analytics by challenging conventional reporting methodologies and implementing cutting-edge analytical techniques that position REWE as an industry technology leader
Build analytical capabilities across the organization through knowledge transfer and mentorship programs, creating a multiplier effect that amplifies data literacy and self-service analytics adoption

Requirements

Education

Master's degree in Analytics-related field (Business Information Systems, Statistics, Econometrics, Computer Science, Mathematics, Physics) with business focus preferred, PhD advantageous

Experience

Proven practical experience in data analysis and analytical projects, preferably in cloud environments

Required Skills

Very good analytical and conceptual thinking abilities Strong communication skills, especially with non-technical colleagues and audiences Passion for data analysis Ability to quickly understand new challenging business questions Flexibility to answer questions with appropriate analytical methods High service and team orientation Experience working in agile and dynamic environments Stay up to date with technologies and developments Very good programming skills with solid practical experience in SQL or BigQuery and Python Experience in cloud environments
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Sauge AI Market Intelligence

Industry Trends

German retail sector is experiencing unprecedented digital transformation acceleration, with traditional grocers investing heavily in advanced analytics and AI capabilities to compete with e-commerce giants and optimize omnichannel experiences. This shift is creating substantial demand for data analysts who can bridge business and technology domains. Cloud-first analytics architectures are becoming standard in European retail, driven by GDPR compliance requirements and the need for real-time decision making capabilities. Organizations are prioritizing professionals with cloud platform expertise, particularly Google Cloud Platform and BigQuery, to modernize their data infrastructure. Advanced Analytics and AI are transitioning from experimental to operational across retail value chains, with focus areas including demand forecasting, dynamic pricing, supply chain optimization, and personalized customer experiences. This evolution requires analysts who can translate business problems into technical solutions and communicate insights effectively to non-technical stakeholders.

Role Significance

Typically part of 8-12 person analytics team within larger Digital & Technology division, collaborating closely with 3-4 other data analysts and reporting to senior analytics management while interfacing with multiple business units across the organization
Mid-level individual contributor role with high strategic visibility, serving as critical liaison between technical analytics teams and business stakeholders. Position carries significant influence on business decision-making processes and requires autonomous problem-solving capabilities with minimal supervision.

Key Projects

Implementation of predictive demand forecasting models for perishable goods inventory optimization Development of customer segmentation and personalization engines for targeted marketing campaigns Creation of supply chain analytics dashboards for logistics efficiency improvement Design and deployment of pricing optimization algorithms for competitive market positioning

Success Factors

Exceptional stakeholder management and communication abilities to effectively translate complex analytical findings into compelling business narratives that drive executive decision-making and organizational change adoption Deep technical proficiency in modern data stack including cloud platforms, SQL optimization, and Python ecosystem for analytics, combined with understanding of retail business fundamentals and key performance indicators Agile mindset and adaptability to rapidly changing business requirements while maintaining high standards for analytical rigor and data quality in fast-paced corporate environment Leadership and mentoring capabilities to develop junior team members and build analytics capabilities across business functions through knowledge transfer and training programs

Market Demand

High demand driven by retail digital transformation initiatives, particularly in German market where traditional retailers are aggressively investing in analytics capabilities to maintain competitive position against digital-native competitors

Important Skills

Critical Skills

SQL and BigQuery expertise is fundamental for accessing and manipulating REWE's massive cloud-based data infrastructure, requiring advanced query optimization skills and understanding of distributed data processing architectures to handle petabyte-scale retail datasets efficiently Python programming proficiency with focus on analytics libraries (pandas, numpy, scikit-learn) essential for developing scalable analytical solutions and automating complex data processing workflows that support real-time business decision making Business communication and stakeholder management abilities are crucial for success in this translator role, requiring ability to present complex analytical findings to diverse audiences including C-suite executives, department managers, and technical teams with varying levels of data literacy

Beneficial Skills

Machine learning and statistical modeling expertise to develop predictive analytics capabilities for demand forecasting, customer behavior analysis, and pricing optimization initiatives that drive competitive advantage Cloud platform certifications (Google Cloud Professional Data Engineer, AWS Certified Analytics) demonstrate commitment to modern data architecture and enhance credibility when implementing enterprise-scale analytics solutions Retail domain knowledge including understanding of supply chain management, inventory optimization, customer lifecycle management, and pricing strategies provides context for developing more relevant and impactful analytical solutions

Unique Aspects

Direct integration with board-level Digital & Technology division provides exceptional visibility into enterprise strategic initiatives and opportunities to influence major business decisions affecting Europe's largest retail operations
Opportunity to pioneer Advanced Analytics and AI implementation in traditional German retail sector, working with cutting-edge technologies while solving complex real-world business problems at massive scale
Access to rich, diverse datasets spanning grocery retail, discount retail, hardware retail, and tourism sectors enables cross-industry analytical insights and innovative solution development
Agile working environment within established corporate structure combines startup-like innovation pace with enterprise stability and comprehensive benefits package

Career Growth

Typical progression to senior individual contributor role within 2-3 years, with management track opportunities emerging after 3-5 years of demonstrated leadership and business impact

Potential Next Roles

Senior Data Analyst with expanded scope covering multiple business units and complex analytical initiatives Analytics Manager or Team Lead role overseeing junior analysts and driving strategic analytics roadmap Business Intelligence Manager focusing on enterprise-wide reporting and dashboard architecture Data Science roles with machine learning focus, particularly in retail optimization and customer analytics

Company Overview

REWE Group

REWE Group represents one of Europe's largest retail and tourism conglomerates with over 15,000 stores across multiple countries and annual revenues exceeding EUR 75 billion. The organization operates diverse retail brands including REWE supermarkets, PENNY discount stores, toom hardware stores, and DER Touristik travel services, serving millions of customers daily across German-speaking markets.

Dominant market position in German grocery retail sector with approximately 20% market share, competing directly with Edeka, Aldi, and Lidl while facing increasing pressure from Amazon and other digital commerce platforms. REWE's strategic focus on analytics and digital transformation reflects commitment to maintaining market leadership through data-driven innovation.
Cologne headquarters location positions role at corporate center of German retail operations, with direct access to executive leadership and strategic decision-making processes. Location offers significant networking opportunities within German business community and access to vibrant technology ecosystem.
Progressive corporate environment emphasizing agile methodologies, cross-functional collaboration, and employee empowerment within traditional German corporate structure. Strong commitment to diversity and inclusion initiatives, work-life balance, and professional development creates supportive environment for career growth and innovation.
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