Information Technology Specialist

Sr. Specialist - Power BI Reporting Full-time · 5–7 Years’ Experience · Manufacturing / Retail Skills: Power BI · Report Design · DAX (Moderate) · Data Visualisation · Stakeholder Communication Manufacturing / Retail Domain About the Role We are looking for Power BI Reporting Sr. Specialist to build the reports and dashboards that help our business make better & faster decisions.

The input data will be supplied from the Fabric data lake & your job is to take that data and turn it into clear, well-designed reports that business users actually rely on. We are a manufacturing and retail business. Experience in either industry is important we need someone who already understands the metrics, the rhythms, and the language of our world.

What You Will Do Building Reports & Dashboards Design and build Power BI reports and dashboards from simple daily operational views to multi-page reports with filters, slicers, and drill-throughs. Work with data that has already been structured and made available; your focus is on presentation, layout, and making the data easy to read and act on. Write DAX measures to support report logic things like period-over-period comparisons, running totals, percentage calculations, and conditional formatting rules.

Apply Power BI features purposefully: bookmarks, tooltips, dynamic titles, conditional formatting, and page navigation used where they genuinely improve the user experience, not just because they can be. Build reports that work well across different audiences an executive summary view and an operational detail view often need to tell the same story differently. Diagnose and resolve report performance issues — slow visuals, heavy queries, inefficient DAX — so dashboards remain fast and usable under real operational conditions Working with Stakeholders Meet with business users’ operations managers, commercial leads, finance teams to understand what they need to see and why.

Ask the right questions to turn a vague request (“we want to track performance”) into a clear report brief before you start building. Share drafts early, gather feedback, and iterate. Good reporting is rarely right first time and that is expected.

Communicate clearly with the data engineering team when data you need is missing, incorrectly structured, or unclear you do not need to fix it yourself, but you need to spot it and raise it. Confidently challenge requirements when a requested report would not serve the underlying business need, and propose a better alternative. Maintaining Quality & Consistency Follow agreed naming conventions, colour standards, and layout guidelines so reports feel consistent across the business.

Keep your Power BI workspace organised reports should be easy to find, understand, and hand over if needed. Test your reports before publishing: check numbers against source data, verify filters behave correctly, and confirm RLS is applied where required. Maintain basic documentation for each report what it shows, where the data comes from, and who it is for.

Manage report versions through Power BI deployment pipelines — maintaining dev, test, and production environments so changes are tested before reaching live users. What You Must Bring Ability to sense-check your own output you notice when a number looks wrong, when a trend is misleading, or when a metric is being misread by the business. Comfort working with Microsoft Fabric as a data source connecting Power BI to a Lakehouse or Warehouse via Direct Lake or import mode. 5–7 years of experience building reports and dashboards in Power BI, with real users relying on your output.

Confident Power BI skills across the full report-building toolkit: visuals, slicers, filters, bookmarks, drill-throughs, conditional formatting, and Power BI Service publishing. Working DAX knowledge, you can write measures for common business calculations (YTD, MTD, % variance, rolling averages) without needing to look everything up. An eye for clean, readable report designs you understand that a good report is not one with more visuals, it is one where the right information is immediately obvious.

Experience working directly with business users to gather requirements and turn feedback into improved reports. Good communication skills you can explain what a report shows, what it does not show, and what the data is telling the business. Background in manufacturing or retail you already know what OEE, OTIF, sell-through, shrinkage, or margin mean without needing a glossary.

Attention to detail you check your own work, you notice when numbers look off, and you do not publish something you are not confident in. ★ Good to Have Microsoft PL-300 certification (Power BI Data Analyst Associate) not required but a positive signal. Experience building reports for shift-based operations, retail stores, or supply chain teams, functions like HR, Finance, Procurement etc. Familiarity with Power BI mobile layouts for users who consume reports on the shop floor or in-store.

Basic understanding of how data pipelines and data models work enough to have a sensible conversation with a data engineer. Exposure to Power BI deployment pipelines or workspace governance practices. As part of the process, we will ask you to walk us through a dashboard you have built and the business problem it solved.

If your reports are genuinely used and not just built and forgotten, we want to hear from you.