BI Engineer, UK

1. Translate Business Needs into BI Solutions

Turn stakeholder questions and requirements into clear, actionable data products (dashboards, models, metrics) that support decision making and improve service experience and contractual performance with guidance from Lead BI engineers or BI managers.

2. Design and Build High Quality BI Products

Develop analytical products aligned to established standards such as dashboards and reports to enable stakeholders to make informed decisions easily at pace and with confidence.

3. Model Data Correctly and Consistently

Create and maintain scalable data models that reflect business processes, enable correct analysis, and support reuse.

4. Communicate Insight Clearly

Present data through effective visualisation and storytelling so insights are easy to understand, clear and appropriate for the audience.

5. Ensure Data Quality and Trust

Validate logic, test outputs, and challenge anomalies to ensure BI products are accurate, consistent, and dependable.

6 . Deliver Work Predictably

Own backlog items through the delivery lifecycle, manage time and dependencies, and meet agreed commitments within delivery frameworks.

7 . Continuously Improve BI Products

Participates in workshops with stakeholders, monitors usage, and seeks feedback to contribute to iterative improvements of BI products

Operational Stakeholders

Performance teams

Business Intelligence & Insight team

Business Finance teams

Business Planning (WFM) teams

Technology Data & Analytics team

Technology Platform teams

Operational Leaders

Operational system providers and Platform partners

External consultants (where applicable)

• A degree level qualification (or equivalent practical experience) in Data Analytics, Statistics, Computer Science, or a related discipline.

• Experience working in data or analytics within a complex organisation providing data solutions for multiple business units and workstreams.

• Proven experience delivering business intelligence solutions, ideally using Power BI.

• Strong analytical capability with experience in data visualisation and storytelling.

• Experience producing senior stakeholder insight and narrative reporting.

• Intermediate proficiency in analytics and visualisation tools (e.g. Power BI, Tableau, advanced Excel).

• Practical experience designing dimensional data models and applying Kimball principles.

• SQL experience for data extraction, validation, and analysis.

• Experience validating and assuring the quality and accuracy of BI outputs.

• Ability to work with stakeholders to translate business needs into repeatable BI solutions.

• Ability to manage workload and deliver within an Agile oriented way of working.

• Experience with Power BI Service administration and governance features.

• Experience with automation tools (e.g. Power Automate).

• Experience writing complex SQL queries and performance optimisation.

• Experience monitoring BI usage and iterating products based on feedback.

Embraces Respect.

Partners Effectively

Creates Innovative Solutions

Focuses on the Customers

Demonstrates Compassion

Takes Responsibility & Acts with Integrity

Business Understanding

Understands business processes, priorities, and decision making contexts.

Can distinguish between “interesting data” and useful insight.

Frames analytical work in terms of business outcomes, not just outputs.

Can identify additional insights, trends, and risks with guidance beyond stated stakeholder requirements.

Stakeholder Engagement

Builds effective working relationships with business users.

Listens actively, asks the right questions, and clarifies vague requirements

Manages expectations by communicating scope, timelines, and constraints clearly

Approaches with a positive, can-do attitude, focusing on solutions and constructive outcomes rather than obstacles

Analytical Thinking & Problem Solving

• Breaks complex problems into logical components.

• Investigates anomalies and inconsistencies with curiosity and rigour.

• Uses data to form, test, and refine hypotheses.

• Thinks structurally about data (facts, dimensions, grain, relationships).

• Designs models that are intuitive, scalable, and aligned to business logic.

• Considers how data will be used downstream when designing solutions.

• Applies agreed KPI definitions

Data Visualisation & Storytelling

• Communicates insights clearly through well designed visuals.

• Chooses appropriate charts, layouts, and narratives for different audiences.

• Balances accuracy, clarity, and simplicity.

• Follows visualisation standards and guidelines

• Understands UX/UI principles, thinking in terms of the user’s journey.

Technical Application

• Applies BI tools, SQL, and analytics techniques appropriately and efficiently.

• Selects the right technical approach for the problem at hand.

• Understands limitations as well as capabilities of the tooling.

• Shows an understanding of data refresh patterns, latency and dependencies. Data Quality & Attention to Detail

• Validates data, logic, and results before presenting outputs.

• Notices inconsistencies, edge cases, and data quality issues.

• Takes ownership of accuracy and integrity of BI products.

• Awareness of appropriate data handling approach for sensitive information

• Awareness of access control methodology

Delivery & Ownership

• Owns work from requirement through to delivery and support.

• Manages time effectively and delivers agreed commitments to agreed timescales to agreed commitments.

• Works productively within Agile or structured delivery frameworks.

Communication & Collaboration

• Explains technical concepts in plain language when needed.

• Documents work clearly and shares knowledge with others.

• Collaborates effectively with engineers, analysts, delivery leads, and managers.

Learning Mindset & Adaptability

• Continuously improves skills and ways of working.

• Learns from feedback, issues, and changing business needs.

• Adapts solutions as requirements, data, or priorities evolve.