Job Title: BI Engineer / Data Analyst
Location: Hybrid – Durham or Cambridgeshire office 1 day per wee
Industry: Utilities
Salary: Up to £42k + Package
About the Role
Forsyth Barnes is partnering with a leading utilities company seeking a BI Engineer to strengthen its data analytics capabilities. This role sits within the Data Analytics team, responsible for delivering Management Information (MI) and analysis to drive business decisions and operational efficiency.
As a BI Engineer, you will play a key role in designing and developing Power BI reports and dashboards, building scalable dimensional data models, and ensuring data-driven insights support key business functions. You will work closely with stakeholders to define requirements, optimise data structures, and enhance reporting capabilities.
Key Responsibilities
* Design, develop, and maintain Power BI reports and dashboards.
* Gather and define reporting requirements from key stakeholders.
* Develop and maintain dimensional data models to support scalable BI solutions.
* Extract, transform, and load (ETL) data from multiple sources into structured models.
* Ensure data accuracy, consistency, and accessibility for internal teams.
* Support the development of MI reporting solutions and data structures.
* Document solutions, test outputs, and validate results with users.
* Act as a data and analytics business partner to other teams.
* Contribute to the Data Analytics Strategy and ensure timely delivery of projects.
Key Skills & Experience
Essential:
* Strong experience with Power BI, SQL, and dimensional data modelling.
* Understanding of data warehousing and relational databases.
* Experience in gathering MI requirements and delivering BI solutions.
* Strong analytical and problem-solving skills.
* Ability to manage multiple tasks in a fast-paced environment.
Desirable:
* Knowledge of SSRS, Jira, Confluence, or similar reporting tools.
* Experience with MS SQL Server, ETL processes, and data warehouse development.
* Understanding of the utilities sector and its data challenges.
Personal Attributes
* Highly numerate with strong attention to detail.
* Organised, proactive, and able to work independently.
* Strong communication and stakeholder management skills.
* Commercially aware with a passion for data-driven decision-making