3 of 3 SQL Data Analyst Jobs in the South East

Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID

Hiring Organisation
Prize Placements
Location
South East, United Kingdom
Employment Type
Permanent
Salary
£60000 - £70000/annum 20% Bonus / HYBRID / GYM ONSITE
Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office) Location: Hertfordshire Salary: £60,000 - £65,000+/20% Bonus Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL … Python. We are looking for an experienced engineer who can drive the automated data pipeline development process, starting from requirements gathering, data extraction & loading, through to data modelling, reporting, and ultimately supporting the business. The key responsibilities include: Work with the Engineering Operations team to understand ...

Hybrid BI Analyst - Power BI, SQL & Data Governance

Location
Basingstoke, England, United Kingdom
Castle Trust Bank is seeking a Business Intelligence Analyst to join the Data Team in Basingstoke on a hybrid basis (3 days in the office, 2 at home). You will develop dashboards and reporting solutions using Power BI, SQL and DAX to turn complex data into actionable insight for Savings, Mortgage and Point-of-Sale Lending. You will collaborate with stakeholders, support self-service analytics, contribute to data quality and governance, and help evolve our modern data platform with AI-enabled #J-18808-Ljbffr ...

Senior BI Analyst: Power BI, SQL & Azure Data Factory Lead

Location
Brighton, England, United Kingdom
Hereweare is seeking a Senior BI Analyst to provide expert analytics, reporting, and BI support for external partners in health and care. You will lead on complex datasets, dashboards, and data pipelines while ensuring data quality, governance and security. You will collaborate with multiple project teams, mentor … junior analysts, and maintain relationships with internal and external stakeholders. The role requires strong SQL, Power BI skills, and experience with data integration tools such as #J-18808-Ljbffr ...