Business Analytics Engineer

About the role

The Business Analytics Engineer will maintain scorecards and PowerBI dashboards, review North America data, and support scaling AI tools.

Responsibilities

• Analyze sales, repair, and upgrade performance data to identify trends, opportunities, and risks across 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.
• Evaluate business processes to identify areas for AI workflow optimization, such as improving growth or customer centricity.

Requirements

• 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.
• Ability to simply complex or multiple data sources while staying focused on purpose of KPIs and reports for decision making.
• Strong communication and leadership skills.

Qualifications

• Given the nature of the position, applicants must have authorization to work in the U.S. now and in the future without sponsorship.

Skills

• Data modeling
• PowerBI
• Snowflake
• SQL
• Data visualization
• Business analytics
• Data governance
• AI workflow optimization

Benefits

• 401(k) plan with a generous company match and an automatic retirement contribution
• Comprehensive medical, prescription drug, dental, and vision coverage
• Three weeks of paid vacation, along with paid company holidays
• Paid sick leave
• Employee assistance and wellness incentive programs
• Life insurance and disability coverage
• Voluntary benefits, including options for legal, pet, home, and auto insurance
• Tuition reimbursement program
• Spot performance bonus opportunities

Pay

Details not specified.

Schedule

Details not specified.