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A manufacturing company in Sheffield is looking for an experienced Data Analyst to join their Finance team. Responsibilities include data modeling, report creation in Power BI, and ensuring data accuracy. Candidates should have strong skills in data infrastructure and stakeholder engagement. The role offers a comprehensive benefits package including a pension scheme, gym membership, and career development opportunities.
Independent Forgings and Alloys Ltd (IFA) is a single-site forge with open-die radial, press, hammer & ring rolling and closed-die extrusion, drop stamp and blade forging. We have invested in the business and doubled turnover. We are seeking to grow our established team and add to the Finance team with an experienced Data Analyst. This is a regular days position working 37 hours per week.
The Data Analyst will be responsible for gathering data from various sources (SQL databases, Excel files, cloud services), cleaning, transforming, and modeling data using Power Query and DAX, ensuring data accuracy, completeness, and consistency. You will design and build interactive reports and dashboards in Power BI, use data visualisations to communicate key metrics and insights clearly, and customise visuals using DAX, bookmarks, slicers, and tooltips.
You will perform data analysis to identify trends, patterns, and outliers, support business decision-making with actionable insights, and collaborate with stakeholders to define KPIs and analytical requirements. Managing data access and security using roles and permissions in Power BI Service, you will ensure compliance with data governance policies and best practices.
Working closely with business users, managers, and technical teams to understand data needs, you will present findings and visualisations to non-technical audiences effectively and provide training or support to end-users on how to interact with reports. Monitoring and optimising report performance, you will stay updated with new Power BI features and best practices and recommend improvements to existing data models, reports, and processes.