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# Data Analyst- Sheffield

- **Company:** FDM Group
- **Location:** Leeds, UK
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Data Hub, Operational Data Store, Power BI, Microsoft Power Automate, Microsoft Fabric, Data Analytics, Performance Monitor, Data Management, Data Pipelines, Powerapps
- **Published:** August 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=4b9d5e43d74b27cf

## About the Role

* Minimum of 2 years' experience in a relevant BI Developer role.
 * A genuine interest in data quality principles and how good data enables better decision-making.
 * Experience or strong interest in one or more of: dashboard development, KPI/metrics definition, data pipelines/automation, or data analysis.
 * Comfortable working with, or keen to develop skills in, financial data.
 * Strong analytical mindset with close attention to detail.
 * Clear communication skills, able to work with both technical and non-technical stakeholders.
 * Enthusiasm for contributing to a growing data culture and data literacy agenda.

Technical Skills & Experience

 * Strong working knowledge of Microsoft Power BI, including report and dashboard building, data modelling, and DAX.
 * Experience with the wider Microsoft Power Platform (e.g. Power Automate, Power Apps, Dataverse) to support workflow automation and data-driven solutions.
 * Comfortable connecting to and shaping data from multiple sources to support KPI tracking and reporting.

Nice to have: familiarity with Microsoft Fabric (e.g. Lakehouse, Data Factory pipelines, OneLake) and how it integrates with Power BI would be advantageous but is not essential.

## Description

FDM is a global business and technology consultancy seeking a Data Analyst to work for our client within the Public sector. This is initially a 6 month contract with the potential to extend and will be a hybrid role that will be based in Sheffield., * Dashboard development- building and maintaining dashboards to support business reporting and decision-making.

 * KPI tracking and metrics creation- defining, tracking and reporting on key performance indicators and metrics.
 * Data management and data quality- maintaining accuracy, consistency and accessibility of data, and supporting processes that keep data clean and reliable.
 * Pipelines and automation- supporting the build and maintenance of data pipelines and automating manual data processes.
 * Data analysis- analysing financial and operational data to generate insight for stakeholders across the bank.


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