Business Intelligence & Data Analytics Specialist

Analytics & Business Impact Analyze data to generate actionable insights on areas such as product usage, fleet performance, and service quality Develop and maintain KPI dashboards and reports (e.g., Power BI) Identify trends, anomalies, and improvement opportunities Data Foundation & Collaboration Ensure data is reliable, consistent, and fit for analysis Support data quality rules and improve data structures and usability Collaborate with Data Engineering on data availability and pipeline requirements Platform Evolution & Enablement Contribute 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 relevant Translate business needs into data solutions and communicate insights in a clear and business-relevant way Your skillset Technical & Analytical Skills

Degree in Data Science, Business Analytics, Computer Science or similar Strong experience (4+ years) in data analysis and visualization (e.g., Power BI) Solid skills in Databricks, Azure Cloud Services, Apache Spark, GIT, SQL , DAX and/or similar, plus understanding of data modeling and processing Solid Knowledge of statistics and ML models Ability to create impactful, user?focused reports and visualizations Business & Methodological Skills Strong business understanding and problem-solving mindset Experience translating business needs into data-driven insights Structured and analytical way of working Familiarity with Agile environments Collaboration & Personal Competencies Strong communication, stakeholder management, and presentation skills Strong analytical and structured thinking with good planning and organizational skills Curious, hands-on, pragmatic, and self-driven Good German and English skills (written and spoken)

40 hour week Easy access from railway station and highway Free parking At least 5 weeks holiday Staff restaurant Free coffee drinks from espresso to latte macchiato A world of opportunities for our people, and maybe for you? We offer a thorough introduction as well as a variety of tasks with a high degree of independence in an innovative company. Danijel Zeravica, HR Manager, is looking forward to the first contact with you. Please apply using the "Apply" button below. Thank you very much. jid14e7a55a jit0521a jiy26a

We, 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. Business Intelligence & Data Analytics Specialist (f/m) 100% - Hybrid About Franke We, 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.