Business Analytics Engineer

Would you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity? Otis is looking for a Business Analytics Engineer who will be responsible for maintaining scorecards and PowerBi dashboards. This role will also help review North America data and support scaling AI tools. This will be a data-centric working environment.

On a typical day you will:

- Analyze sales, repair, and upgrade performance data to identify trends, opportunities, and risks across the US & Canada field organizations.

- Design and develop dashboards, reports, and data visualizations that translate complex data into clear, actionable insights for Sales, Field Operations, and Leadership.

- Develop working fluency in the elevator business: unit profiles, component knowledge, contract basics, and the KPIs that drive rep behavior

- Build and maintain data models that support long‑term strategy for repair revenue growth, customer conversion, and sales productivity.

- Conduct deep‑dive analytics on customer behavior, portfolio performance, and service history to recommend targeted upgrade and repair strategies.

- Support business case development for new repair programs, pricing initiatives, and process improvements using data‑driven insights.

- Ensure data accuracy, governance, and integrity across multiple sources, including CRM, service systems, and financial platforms. Contribute to metadata documentation efforts.

- AI Strategy – Evaluate business processes to identify areas for AI workflow optimization, such as improving growth or customer centricity.

What you will need to be successful:

- Bachelor’s degree or equivalent experience required

- Proficiency in data modeling and translating to PowerBI, Sigma, or other modern cloud BI tools

- Advanced SQL skills with hands-on Snowflake experience (tables, secure views, semantic views as the foundation for analytics consumption)

- Proven ability to deliver results at pace

- Process and proactive oriented

- Demonstrated experience with using data and analytics to drive results and decisions