dm-drogerie markt — Germany’s most respected and beloved drugstore retailer, known for its dialogische Unternehmenskultur, employee values, and innovative data-driven decision making — is seeking a passionate Data Analyst (m/f/d) for Market Logistics (Marktlogistik) within its Data Services team at its headquarters in the Greater Karlsruhe Area. This role sits at the heart of dm’s market logistics function, serving as the first point of contact for all data-related questions around market processes. You will support colleagues with analyses, develop tools that make processes data-visible, build and enhance monitoring dashboards, conduct ad-hoc analyses, work on data-driven projects (from exploratory analysis through model development to concrete solutions), and communicate results clearly to business and product owners. Strong Python or R proficiency, experience with dashboards and data visualization, and interest in AI, Machine Learning, and Operations Research are key. German C1 level is required.
dm’s Outstanding Benefits — Unser Angebot für Dich
Work-Life Balance: Flexibles und mobiles Arbeiten · 37,5-Stunden-Woche · 30 Urlaubstage — a genuinely sustainable working model that respects life outside the office
Workation: Arbeit und Urlaub verbinden bei einer “Workation” im europäischen Ausland — work from anywhere in Europe twice per year, a benefit that very few German employers offer
Financial: Urlaubs- und Weihnachtsgeld · Sonderzahlungen · Warengutscheine · 10% Mitarbeiterrabatt in allen deutschen dm-Märkten
Tech Leasing: Zweimal jährlich aktuelle Smartphones, Tablets oder Laptops für den Privatgebrauch preiswert leasen — exclusive employee tech leasing at attractive prices
Health & Wellbeing: Betriebliche Altersvorsorge · Berufsunfähigkeitsversicherung · Mentale und körperliche Gesundheitsangebote · Krankenkassenkooperationen · dm-Kurse
Learning: dm digitale Lernwelt — Projektmanagement, Sprachkurse, und vieles mehr | Fachliche und persönliche Weiterentwicklung aktiv unterstützt
Workspace: Dialogicum — hell, großzügig, modern | Ergonomisches Mobiliar · Neueste Technik | Culinarium: täglich frische Mahlzeiten und gesunde Snacks
Mobility: Deutschlandticket Job-Zuschuss · JobRad · Parkplätze · E-Ladestationen · Fahrradgarage | S-Bahn und Autobahn direkt vor Ort
About dm-drogerie markt & Team Marktlogistik — Data Services
Company: dm-drogerie markt — Germany’s leading and most beloved drugstore retailer | Known for dialogische Unternehmenskultur · employee values · sustainable business practices
Team Marktlogistik: Dedicated to continuous analysis, optimization, and development of logistics processes related to goods flow in dm’s retail markets — creating ideal conditions for merchandise handling and supporting market employees through data-based insights
Data Services Role: First point of contact for all data-related questions from the Marktlogistik function — operating as an internal data service provider who listens, prioritizes, and delivers analyses and tools that genuinely help
Work Environment: Dialogicum — dm’s modern, open, bright headquarters facility in the Greater Karlsruhe area | Flat hierarchies · Wertschätzung · Eigenverantwortung
Why This dm Data Analyst Market Logistics Role in Karlsruhe Is a Career-Defining Opportunity in 2026
Real Retail Data at Scale: Analyzing logistics processes across dm’s nationwide network of German retail markets — where product flow, stocking processes, delivery schedules, and shelf replenishment decisions create extraordinarily rich and commercially consequential data — provides the most practically grounded, most immediately impactful, and most professionally stimulating data analytics environment available in Germany’s retail sector
Service-Oriented Data Role: This role explicitly frames the data analyst as an internal service provider — listening to business stakeholders, understanding their analytical needs, and delivering insights and tools that genuinely help — developing the cross-functional communication, analytics product development, and business partnering skills that distinguish senior data analysts from junior number processors
AI + ML + OR Intersection: Working at the intersection of logistics process analysis, machine learning, and Operations Research — with the opportunity to contribute to the data-driven future of dm’s logistics function — provides the breadth of analytical challenge that most single-discipline data roles cannot offer
Karlsruhe / dm Culture: dm’s extraordinarily distinctive corporate culture — dialogisch, wertschätzend, eigenverantwortlich — combined with the Workation option, 37.5-hour week, and 30 days leave makes it one of Germany’s most professionally and personally rewarding employers for data professionals
This Data Analyst (m/f/d) for Market Logistics role at dm-drogerie markt in the Greater Karlsruhe Area is a full-time, data services position within the Team Marktlogistik, responsible for being the first point of contact for all data-related questions from the market logistics function. You will capture and prioritize analytical requests together with the specialist departments; conduct ad-hoc analyses that quickly and clearly answer specific questions about market processes; develop monitoring dashboards further and build new analytical tools that make processes data-visible; work in projects and realize data-driven initiatives from exploratory analysis through model development and evaluation to concrete solutions; prepare results through appropriate visualization and data preparation and communicate them comprehensibly to business and product owners; and monitor and optimize data quality and integrity to ensure analyses and models remain reliable. Strong Python or R programming skills, experience with dashboards and data visualization, interest in AI and Machine Learning, basic exposure to quantitative logistics or Operations Research, and verhandlungssicheres Deutsch at C1 level are the key requirements.
Position Overview
This Data Analyst (m/f/d) for Market Logistics role at dm-drogerie markt in the Greater Karlsruhe Area is a full-time, data services position within the Team Marktlogistik, responsible for being the first point of contact for all data-related questions from the market logistics function. You will capture and prioritize analytical requests together with the specialist departments; conduct ad-hoc analyses that quickly and clearly answer specific questions about market processes; develop monitoring dashboards further and build new analytical tools that make processes data-visible; work in projects and realize data-driven initiatives from exploratory analysis through model development and evaluation to concrete solutions; prepare results through appropriate visualization and data preparation and communicate them comprehensibly to business and product owners; and monitor and optimize data quality and integrity to ensure analyses and models remain reliable. Strong Python or R programming skills, experience with dashboards and data visualization, interest in AI and Machine Learning, basic exposure to quantitative logistics or Operations Research, and verhandlungssicheres Deutsch at C1 level are the key requirements.
Why This dm Market Logistics Data Analyst Role Is the Retail Analytics Career of 2026 in Karlsruhe: Data analysts with strong Python or R programming skills, dashboard development and data visualization experience, interest in Machine Learning and AI applications, some exposure to logistics, supply chain, or Operations Research topics, and the service orientation to listen to business stakeholders and deliver genuinely useful analytical results — who want to work at Germany’s most distinctive retail employer with a Workation option, 37.5-hour week, 30 days leave, Dialogicum workspace, employee discount, and the genuine opportunity to shape how dm’s logistics processes are understood and improved through data — will find this Karlsruhe Data Analyst position one of the most professionally meaningful and personally rewarding analytics career opportunities in Germany in 2026.
Key Responsibilities
Erstansprechperson — Data Services für Marktlogistik
- Serve as the first point of contact for all data-related questions and requirements from the Market Logistics function — applying the combination of technical data expertise and business communication skill that allows you to listen effectively to non-technical logistics colleagues, understand what they actually need from data (distinguishing the underlying analytical question from the surface-level data request), prioritize incoming requests together with the specialist departments based on business urgency and analytical complexity, and set realistic expectations about delivery timelines and output format before work begins rather than delivering analyses that miss the actual question
- Conduct ad-hoc analyses that quickly and clearly answer specific questions about market processes — applying the analytical agility that translates a logistics team member’s question (“why did this store’s delivery intake time increase last month?”, “which stores have the highest discrepancy between planned and actual merchandise handling times?”) into a precisely-defined analytical task, executed efficiently in Python or R against the available market process data, and communicated back as a clear, jargon-free answer that the logistics stakeholder can act on within the timeframe their decision requires
- Monitor and optimize data quality and integrity — establishing and maintaining the data quality monitoring routines, anomaly detection checks, and data lineage documentation that ensure the analyses and models produced by the team remain trustworthy even as underlying data sources, process definitions, and market configurations change over time, proactively identifying data quality issues before they produce incorrect analysis outputs that mislead logistics decisions
Dashboard-Entwicklung, Analysetools & Datenvisualisierung
- Develop monitoring dashboards further and build new analytical tools — applying dashboard design thinking (audience-appropriate metric selection, intuitive layout, clear anomaly highlighting, appropriate update frequency) and technical implementation capability (using Python dash/streamlit, R Shiny, Power BI, Tableau, or the dm-specific toolstack) to create monitoring dashboards that give logistics managers and market employees genuinely actionable visibility into the health of market logistics processes — not dashboards that look impressive but require a data expert to interpret
- Prepare results through appropriate visualization and data preparation — applying the data visualization design principles (choosing chart types that match the data structure and the insight being communicated, using color and labeling purposefully, simplifying to the essential message rather than showing every data dimension) that make analytical outputs genuinely readable and actionable for business and product owners who have limited time and context for complex data interpretation
- Communicate analytical results comprehensibly to business and product owners — translating the technical language of data analysis (correlation, distribution, outlier, model confidence interval) into the commercial language of logistics management (which stores are affected, how significant is the impact, what should we do differently, how confident can we be) that enables logistics decision-makers to use analytical insights confidently rather than remaining uncertain about what the data actually means for their decisions
Datengetriebene Projekte — Modellbildung, ML & Operations Research
- Work in projects and realize data-driven initiatives from exploratory analysis through model development and evaluation to concrete solutions — contributing to the full analytical project lifecycle that transforms a logistics optimization opportunity (reducing in-store delivery processing time, improving replenishment scheduling accuracy, optimizing workload allocation across market employees) from initial hypothesis through exploratory data analysis, feature engineering, model selection and training, validation, deployment, and monitoring, ensuring that the project produces not just an interesting analysis but a genuinely usable analytical solution that the logistics function can operate independently
- Apply Machine Learning and Operations Research approaches to logistics problems — exploring the application of supervised learning (demand forecasting, anomaly classification), unsupervised learning (customer flow clustering, store segmentation), optimization (staff scheduling, delivery window assignment), and simulation approaches to the specific analytical challenges that dm’s market logistics function faces, evaluating the practical benefit of ML/OR approaches against simpler analytical baselines before committing to more complex model development
- Make analytical results usable for others — developing the data products, self-service analytics tools, and documentation that allow non-technical logistics colleagues to access and use analytical insights independently, without requiring the data analyst’s direct involvement for every new question, progressively building the data literacy and self-service capability of the logistics function so that data becomes genuinely embedded in logistics decision-making rather than remaining the exclusive domain of the data team
Requirements Summary
- Successfully completed university degree in (Wirtschafts-)Informatik, Ingenieurwesen, Mathematik, or a comparable qualification with relevant professional experience in data analysis or analytics
- Good knowledge of Python, R, or comparable programming languages — demonstrated through practical data analysis, model development, or dashboard building in a professional or research context
- Service orientation and enjoyment in helping colleagues with data — the fundamental interpersonal quality that makes a data analyst genuinely useful to the logistics business rather than technically impressive but practically disconnected
- Experience with dashboards and data visualization — demonstrated through practical dashboard development or visualization design that has been used by real business stakeholders
- Verhandlungssicheres Deutsch at C1 level — the essential language requirement for effective stakeholder communication in dm’s German-language logistics and retail environment
- Quick comprehension, entrepreneurial thinking, enthusiasm for creative analytical problem-solving, and willingness to challenge existing approaches and find new ways of working
About dm-drogerie markt & Data Analytics Careers in Karlsruhe 2026
dm-drogerie markt‘s reputation for combining commercial success at extraordinary scale — thousands of stores across Germany and Europe, millions of daily customer transactions — with a genuinely distinctive corporate culture built on dialogue, mutual respect, personal responsibility, and employee wellbeing, makes it one of Germany’s most consistently admired employers across every professional function including data analytics. The Data Services team within Team Marktlogistik represents exactly the kind of data analytics role that ambitious analysts look for but rarely find: one where the business problem is real and commercially important, the data is rich and varied, the stakeholder relationships are direct and meaningful, the tools and methods span from SQL and Python through machine learning to Operations Research, and the employer genuinely invests in the analyst’s professional development, personal wellbeing (Workation, 37.5 hours, 30 days leave), and financial recognition (Weihnachtsgeld, Urlaubsgeld, tech leasing, employee discount). If you want to build a data analytics career at one of Germany’s most professionally admired and personally rewarding employers — apply to dm’s Market Logistics Data Analyst role in Karlsruhe now.
Your Career Growth Path: Data Analyst (Marktlogistik) → Senior Data Analyst → Data Science Lead → Head of Data Analytics / Data Product Manager — a commercially grounded, technically advancing, and personally fulfilling data analytics career trajectory built at the intersection of retail logistics intelligence and machine learning innovation at Germany’s most distinctive data-driven drugstore retailer.
Who Should Apply?
- Data Analysts — Retail / Logistics / Supply Chain (Germany): With Python or R proficiency, dashboard development experience, and genuine interest in logistics analytics who want a role at dm’s Karlsruhe headquarters with Workation, 30 days leave, and the outstanding dm employee culture
- Analytics Engineers — Service-Oriented Mindset: Who enjoy translating business questions into analytical solutions and communicating data insights clearly to non-technical stakeholders, and want a role in dm’s Data Services team where stakeholder service is an explicit and valued part of the job
- Data Scientists — Logistics / Operations Research Interest: With ML modeling experience and interest in quantitative logistics, supply chain optimization, or Operations Research who want to apply their modeling skills to real retail logistics process data at Germany’s leading drugstore retailer
- Business Intelligence Analysts — Dashboard Development Focus: With strong dashboard design and data visualization skills in Python (Dash, Streamlit) or R (Shiny) or BI tools who want a role combining dashboard development with ad-hoc analysis and ML project contribution in a supportive, dialogische corporate culture
- Analytics Graduates / Career Changers — Karlsruhe Area: With (Wirtschafts-)Informatik, Mathematik, or Engineering qualifications, solid Python or R skills, and genuine interest in retail logistics data who want to start or advance their data analytics career at one of Germany’s most employer-friendly and analytically forward-thinking major companies
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