2 of 2 SQL Server Analysis Services Jobs in the Thames Valley

of comprehensive solutions for the Office of the CFO. We believe an actionable business strategy begins and ends with accessible financial data. With solutions across financial planning and analysis (FP&A), accounting, and operations, we transform how teams operate, empowering leaders to make timely and informed decisions. With data at the heart of everything we do, insightsoftware enables … drive business insights and decision-making. The ideal candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements … expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and More ❯

optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models … Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. … in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯