Analyst data Jobs in Langenthal

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.

• 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

• 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 Python, 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

Danijel Zeravica, HR Manager, is looking forward to the first contact with you. Please apply using the "Apply" button below. Thank you very much.