Title: BI Engineer Client: Fortune 500 Consumer Goods 12 M Contract-to-Hire Onsite location: St. Louis, MO The Job & The Team Product & Engineering is responsible for building software products that are a competitive advantage to our business and comprises two technical guilds (Engineering and Data Science) which support our Product Office. As a member of the BI Engineering team, you form part of the Engineering guild. In this role, you will: • Work at the intersection of understanding business problems and building reporting applications/products that drive data‑driven decisions. • Develop a deep understanding of existing processes, the data that supports them, and iterate quickly to ship compelling visualizations and reporting products. • Influence architecture and technology to promote innovation and quality for industry‑changing, data‑driven decisions at all levels of the company. What You Will Do • Understand existing processes and workflows through direct interactions with end users and cross‑functional process owners. • Synthesize information and data from users and process owners to deliver simple, elegant, action‑invoking reports and applications. • Interact daily with Product, Data Science, and Data Engineering teams to iterate quickly—constantly updating and adding visualizations. • Build data models using the latest cloud technologies for fast, low‑maintenance, scalable problem solving. • Collect and monitor user telemetry and feedback to continuously improve reporting assets. WHAT YOU NEED TO SUCCEED Who We Are Looking For • Bachelor’s or Master’s degree in Computer Science or a related engineering field. • Real‑world experience developing scalable reporting solutions to solve business problems. • Experience designing user experiences and building data models on cloud platforms. • A passion for aesthetics, design, color theory, user psychology, and experimentation. • Familiarity with high‑velocity CI/CD systems, Agile methodologies, and A/B testing to accelerate iteration cycles. Technology Skills • Power BI • SQL, Snowflake, Databricks • Python • DAX • Tabular Editor • Github Extra Credit • Power Automate • ALM Toolkit • Azure Analysis Services • Azure DevOps