Overview
Data Analyst required for a leading Microsoft Digital Transformation partner based in Birmingham. We are looking for a highly skilled and detail-oriented Data Analyst to join our team. In this role, you will be responsible for analysing and interpreting data using Microsoft technologies, helping to drive data-informed decision-making across the organisation. You will work with a variety of data sources to identify key trends, develop clear visual reports, and support business stakeholders with actionable insights.
Location: Birmingham, Hybrid working.
Key Responsibilities
* Collect, clean and prepare data from multiple sources, including Microsoft SQL Server, Azure Data Lake, Excel, and other structured or unstructured sources
* Carry out exploratory data analysis (EDA) to identify trends, patterns and correlations
* Design and build insightful dashboards and reports using Microsoft Power BI, clearly presenting findings to stakeholders
* Work closely with colleagues across the business to define key performance indicators (KPIs) and automate reporting processes
* Support the development of predictive models by assisting data scientists and machine learning engineers with input validation and output analysis
* Conduct ad-hoc analyses and investigations using advanced SQL and scripting techniques
* Document analysis processes and findings, and contribute to internal knowledge sharing
Skills and Experience
* Previous experience in a Data Analyst role, preferably using Microsoft data tools
* Strong knowledge of Microsoft SQL Server, T-SQL, and data querying for analysis
* Proficiency in Power BI and other visualisation tools
* Excellent analytical and problem-solving skills, with the ability to turn data into meaningful insights
* Strong communication skills – able to explain complex data concepts to non-technical audiences
* Meticulous attention to detail, with a commitment to producing accurate, high-quality work
* Familiarity with Microsoft Azure data services (e.g., Azure Data Lake, Azure SQL Database, Azure Synapse) is advantageous
* Experience in sectors such as finance, healthcare, retail or manufacturing is beneficial, but not essential
Seniorities
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
* Industries: Staffing and Recruiting
#J-18808-Ljbffr