Business Intelligence Engineer I

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.

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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 reporting experiences. 

* Perform data shaping and transformation using Power Query (M) with an
emphasis on maintainability and repeatability of data preparation steps. 

* Use SQL to extract, validate, and analyze data from enterprise systems;
partner with upstream teams to resolve data quality issues and reconcile
metrics.

* Collaborate with Data Engineers to understand upstream pipelines and data
products, provide reporting requirements, and influence data structures that
best support analytics and semantic modeling. 

* Implement and support governed access patterns, including Row-Level Security
(RLS) where required, and partner with platform/tenant stakeholders to ensure
the right balance of access and control. 

* Manage operational reliability of published assets (refresh requirements,
dependencies, and impact), using platform capabilities such as endorsement,
lineage, and refresh options (including incremental refresh where
appropriate). 

* Contribute to BI engineering standards: workspace organization, naming
conventions, documentation, and lifecycle practices (dev/test/prod promotion,
controlled releases, versioning), consistent with enterprise lifecycle
management approaches. 

* Document KPI logic, data definitions, semantic model design decisions, and
report usage considerations to support governance, transparency, and
auditability (not just “how,” but “why”).

* Partner directly with business stakeholders to clarify requirements,
translate business questions into analytic specifications, and communicate
tradeoffs clearly; Kroll job postings emphasize the importance of translating
technical details into business terms and proactively surfacing issues before
they reach downstream consumers. 

* Participate in Agile delivery routines (planning, refinement, and iterative
delivery) and proactively manage your workstream to deliver high-quality
outcomes on time. 

* Mentor or support the development of more junior analysts/report developers
through reviews, pairing, and reusable assets, consistent with enterprise
enablement practices 

REQUIRED SKILLS & QUALIFICATIONS

* Experience in Business Intelligence, Analytics Engineering, Reporting, or a
related data-focused role, with demonstrated ownership of end-to-end BI
deliverables (requirements → model/report build → validation → release →
iteration).

* Strong hands-on experience with Power BI, including semantic model design,
DAX, Power Query, visualization, and management/security

* Strong SQL skills and comfort working with relational data structures;
ability to validate metrics and troubleshoot discrepancies.

* Solid understanding of dimensional modeling principles (facts/dimensions,
star schema) and how model design impacts performance and usability in Power
BI. 

* Experience working in or alongside a cloud-based data platform environment
(Azure preferred); familiarity with common Azure analytics components is a
plus (ex. Data Factory, Synapse, and Data Lake.) 

* Practical knowledge of data governance fundamentals (definitions,
documentation, lineage/impact awareness) and a commitment to accurate,
trusted reporting. 

* Experience with CI/CD processes for Business Intelligences is a plus (ex.
Deployment pipelines, Git)

* Strong analytical problem-solving skills, attention to detail, and the
ability to communicate clearly with both technical teams and business
stakeholders. 

* Bachelor’s degree in Computer Science, Engineering, Information Systems,
Statistics, or a related field (or equivalent practical experience).

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