OverviewWe, the Franke company with its three divisions, are a world's leading supplier of products and services for domestic kitchens, the professional foodservice systems and the convenience store sector as well as for professional coffee making. With around 60 companies, we are at home on five continents. Over 8,000 employees constantly take on new perspectives to identify opportunities and turn them into inspiring, innovative solutions for tomorrow’s demands.The Franke Coffee Systems division is a leading global provider of state-of-the-art solutions for professional coffee making. Together with our trade partners, we are committed to delivering premium best-in-class in-cup-quality, consistency and beverage variety, as well as ensuring an outstanding customer experience through constant innovation.Join Franke Coffee Systems AG as a Business Intelligence & Data Analytics Specialist and play a key role in turning data from our connected coffee machine ecosystem into actionable business insights to enable better decision-making across product, service, and commercial functions. The role is primarily focused on analytics and business insights, with close collaboration with Data Engineering and selective involvement in advanced analytics topics. You will directly contribute to increasing our data maturity and scaling data-driven decision-making across the organization.ResponsibilitiesAnalytics & Business ImpactAnalyze data to generate actionable insights on areas such as product usage, fleet performance, and service qualityDevelop and maintain KPI dashboards and reports (e.g., Power BI)Identify trends, anomalies, and improvement opportunitiesData Foundation & CollaborationEnsure data is reliable, consistent, and fit for analysisSupport data quality rules and improve data structures and usabilityCollaborate with Data Engineering on data availability and pipeline requirementsPlatform Evolution & EnablementContribute to scalable analytics capabilities within our organization (e.g., Self-Service Analytics)Apply statistical methods to deepen insights and support advanced analytics use cases where relevantTranslate business needs into data solutions and communicate insights in a clear and business-relevant wayQualificationsTechnical & Analytical SkillsDegree in Data Science, Business Analytics, Computer Science or similarStrong experience (4+ years) in data analysis and visualization (e.g., Power BI)Solid skills in Databricks, Azure Cloud Services, Apache Spark, GIT, SQL Python, DAX and/or similar, plus understanding of data modeling and processingSolid Knowledge of statistics and ML modelsAbility to create impactful, user‑focused reports and visualizationsBusiness & Methodological SkillsStrong business understanding and problem-solving mindsetExperience translating business needs into data-driven insightsStructured and analytical way of workingFamiliarity with Agile environmentsCollaboration & Personal CompetenciesStrong communication, stakeholder management, and presentation skillsStrong analytical and structured thinking with good planning and organizational skillsCurious, hands-on, pragmatic, and self-drivenGood German and English skills (written and spoken)What we offer40 hour weekEasy access from railway station and highwayFree parkingAt least 5 weeks holidayStaff restaurantFree coffee drinks from espresso to latte macchiato
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