(Senior) Data Analytics Consultant (m/f/d) | German speaking

x1F is a company focused on turning data into impact through smart analytics, scalable platforms, and AI that remains understandable and meaningful. They work with clients to uncover patterns, activate potential, and enable decisions based on insight rather than gut feeling.

• Proven experience with leading BI and reporting tools (Power BI, Tableau, SAP Analytics Cloud) and ability to design sustainable, scalable BI solutions.
• Expertise in data modelling (star schema, historization) and advanced SQL skills, including complex queries with window functions and CTEs.
• Hands-on experience with modern data platforms (Databricks, Snowflake, Microsoft Fabric) and solid understanding of data warehouse and data lake architectures.
• Strong business acumen to structure and prioritise requirements; experience in banking, insurance, or large enterprise environments is a plus.
• Proficiency in requirements analysis and project delivery using tools such as Jira, Confluence, and Azure DevOps.
• Experience with CI/CD, Spark, or a background in data engineering/data science is advantageous.
• Fluent German (C1 level or higher) and excellent command of English.
• Willingness to travel to Germany regularly (approximately every 3–6 months).

• Provide strategic and architectural consulting to clients in the banking and insurance sector, focusing on data platforms, reporting, and business intelligence.
• Analyse business requirements, translate them into robust data and reporting concepts, and ensure close alignment between business units and IT.
• Design and implement customized BI architectures and reporting solutions on modern data platforms, applying best practices such as star schema, data historization, and CI/CD.
• Prepare and present results in an audience-appropriate manner, provide decision-making foundations for stakeholders, and support the establishment of a data-driven decision-making culture.
• Use a structured approach to data modelling and quickly understand client processes to evolve business and technical data models into sustainable BI solutions.