Description
The Reporting, Insights & Analytics team is on a mission to harness the power of data to guide strategic decisions and improve business operations. Reporting directly into our Chief Data Office, this team collaborates closely with C-Suite executives and Business Unit leaders to develop products, refine processes, and generate actionable insights on a global scale.
As a member of this team, you will play a key role in delivering scalable, high-quality business intelligence solutions that power decision-making across Sales & Pipeline, Engagement Economics, Capacity Planning, and other core operational areas. You will contribute to the development of reports, dashboards, and data models that help leadership monitor performance against Key Performance Indicators (KPIs) and drive continuous improvement.
This role requires strong analytical thinking, foundational BI engineering skills, and the ability to collaborate effectively with both technical teams and business stakeholders. It is ideal for someone who is passionate about data, eager to grow within a modern cloud data environment, and motivated to contribute to enterprise-wide analytics transformation.
Role Overview
As a Business Intelligence Engineer, you will support the design, development, and optimization of enterprise reporting and analytics solutions within Kroll’s Azure-based data ecosystem.
You will work closely with senior BI engineers, data engineers, and business stakeholders to translate business requirements into intuitive dashboards and well-structured semantic models. This role provides hands-on exposure to Power BI development, data modeling best practices, and structured agile delivery.
You will contribute to building reliable, scalable, and trusted reporting assets that enable leadership to make confident, data-driven decisions.
Key Responsibilities:
Own the development and ongoing enhancement of Power BI dashboards and reporting products aligned to business priorities, including clear KPI definitions and decision-oriented storytelling.
Design, build, and maintain Power BI semantic models using dimensional modeling best practices (e.g., star schema) to improve performance, usability, and consistency across reports.
Develop reusable, well-documented DAX measures (including time intelligence patterns where appropriate) and optimize calculations and model design to ensure responsive, scalable r