Jonas Hofmann

Jonas is a BI Consultant in the Insights & Information Design practice at b.telligent Deutschland GmbH. b.telligent is a leading Data & Analytics consultancy, providing clients with tailored solutions to unlock the full potential of their data and accelerate data-driven decision-making.

About

Jonas is a BI Consultant in the Insights & Information Design domain at b.telligent. He advises companies on Business Intelligence and Data Analytics and delivers reporting and dashboard solutions that make data-driven decisions faster, safer, and scalable. His project experience spans retail, services, and manufacturing; technically, he focuses on Power BI, reporting and information design, data warehousing, and Databricks.

In projects, he translates business requirements into user-centric, clear reports and dashboards, using a Data Design Thinking process oriented around users’ information logic and the given technical framework. He supports the development of sustainable reporting and data architectures, ensures consistent KPIs and transparent data models, and guides the entire path from requirements to rollout. He also shares his expertise through Power BI trainings.

IBCS® Certified Consultant

Jonas Hofmann has successfully completed the IBCS® certification for successful design of reports and presentations at the IBCS Institute in October 2025.

Work samples

Financial overview by product category
Regionale Performance: AOV-Trends

  • Financial overview by product category The report provides management and controlling with a consolidated financial view by product category. It visualizes Net Sales, Costs, and Net Profit including ΔPY and compares AC, PY, and FC. Users can analyze by category and region, identify performance drivers, and carry out budget and forecast comparisons

  • Regionale Performance: AOV-Trends The report supports sales and regional management in preparing negotiations and performance assessments. It presents Average Sales per Order on a monthly basis and compares actuals (AC), prior year (PY), and forecast (FC) across regions and countries, enabling trend, variance, and drill-down analyses down to the regional level.