The Role
Partners with stakeholders to define data requirements and delivers trusted reporting, dashboards, and analysis using Microsoft Fabric, Power BI, SQL, and DAX. Builds data models, catalogs, KPI definitions, and governance standards; validates and migrates data from Azure Synapse and SQL Server. Analyzes trends, identifies root causes, communicates recommendations, and collaborates with data engineers to improve pipelines and analytics capabilities.
Summary Generated by Built In
Key Responsibilities
• Partner with business stakeholders to capture, challenge and document data and reporting requirements, translating them into clear analytical specifications.
• Build, maintain and optimise data models, reports and dashboards within Microsoft Fabric (Lakehouse, Data Warehouse, Power BI, Dataflows and Pipelines).
• Write and optimise SQL to extract, transform and validate data from multiple source systems.
• Deliver self-serve reporting and analysis that gives commercial, operational and finance teams a single, trusted view of performance.
• Analyse trends, identify opportunities and root-cause issues, and present findings and recommendations to both technical and non-technical audiences.
• Define and document data definitions, KPIs and business logic, and support data quality and governance standards.
• Build, manage and maintain the data catalogue documenting data assets, definitions, lineage and ownership to improve data discoverability and trust across the business.
• Work with data engineers and the wider data team to improve the analytics platform, data pipelines and ways of working.
Essential Skills & Experience
• Proven experience as a Data / Business Analyst delivering reporting and analytics in a commercial environment.
• Hands-on experience with Microsoft Fabric – e.g. Lakehouse, Data Warehouse, Power BI, Dataflows Gen2 and Pipelines.
• Experience migrating data and analytics workloads from Azure Synapse and SQL Server 2019 to a modern platform such as Microsoft Fabric.
• Strong SQL skills, with the ability to write efficient queries against large datasets.
• Strong Power BI skills, including data modelling and DAX, to build clear and performant dashboards.
• Excellent requirements-gathering and stakeholder-management skills, with the ability to translate business questions into analytical solutions.
• Strong analytical and problem-solving skills and high attention to detail.
• Confident communicator, able to explain data and insight clearly to non-technical audiences.
Desirable (Nice to Have)
• Experience in grocery, food retail or FMCG, and an understanding of the data that drives them (e.g. sales, ranging, stock, supply chain, promotions and loyalty).
• Familiarity with the wider Microsoft data stack (Azure, Power Platform).
• Experience with Python for data analysis or automation.
• Understanding of data governance, data quality and modelling best practices.
Skills Required
- Proven experience as a Data Analyst or Business Analyst delivering reporting and analytics in a commercial environment
- Hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, Power BI, Dataflows Gen2, and Pipelines
- Experience migrating data and analytics workloads from Azure Synapse and SQL Server 2019 to a modern platform such as Microsoft Fabric
- Strong SQL skills for writing efficient queries against large datasets
- Strong Power BI skills, including data modeling and DAX
- Requirements-gathering and stakeholder-management skills
- Strong analytical and problem-solving skills with high attention to detail
- Confident communication skills for explaining data and insights to non-technical audiences
- Experience in grocery, food retail, or FMCG
- Familiarity with Azure and Power Platform
- Experience with Python for data analysis or automation
- Understanding of data governance, data quality, and data modeling best practices
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The Company
What We Do
Absolute App Labs is a global software engineering and product development company serving startups, mid-sized businesses, enterprises, and global brands. It builds AI-first and AI-native digital products, including custom web and mobile applications, SaaS platforms, enterprise systems, and e-commerce solutions. Its capabilities include product modernization, cloud-native development, generative AI and LLM integration, data engineering, and intelligence platforms designed to scale.
