Work closely with business divisions to understand decision-making and insight goals, define KPIs, translate requirements into clear user stories, and shape solutions that support better business outcomes.
Build and maintain high-quality Power BI reports, dashboards, and semantic models using curated Microsoft Fabric data assets, applying strong visual design, usability, and performance practices.
Create robust, reusable semantic models and measures that support consistent insight delivery across teams, using sound modelling principles, DAX, and a strong understanding of business definitions.
Document insight solutions, data definitions, assumptions, and usage guidance; support adoption; and work within agreed governance standards for workspace management, data access, and solution lifecycle.
Provide feedback on data quality, modelling needs, and new data and insight requirements so that upstream Fabric gold data products continue to meet business insight needs.
Help improve delivery standards, reusable assets, and ways of working across the Data and Insights team, with a focus on consistency, trust, and maintainability.
Requirements
Experience delivering data, insight, and reporting solutions in Power BI, ideally in a mid-level analyst or developer role.
Strong hands-on skills in Power BI Desktop, Power Query, DAX, report design, and semantic modelling.
Experience working with Microsoft Fabric or closely related modern Microsoft data platforms, including consumption of curated lakehouse, warehouse, or shared semantic model data.
Good understanding of data modelling principles such as star schema, measures, dimensions, hierarchies, and reusable business definitions.
Ability to work with business stakeholders to gather requirements, challenge assumptions, and communicate insights clearly to both technical and non-technical audiences.
Experience with data quality validation, documentation, and insight and reporting governance practices.
Comfort working across multiple priorities with strong organisation, attention to detail, and a collaborative mindset.
Strong SQL and Excel skills for data exploration, validation, and reconciliation.