Data Business Analyst

Role: Technical Business Analyst (Power BI)

Location: Birmingham (Hybrid)

Salary: £45,000 - £55,000

Join a data-driven organisation undergoing a major digital transformation. As a Technical Business Analyst , you’ll work at the intersection of business operations and technology—helping to enhance enterprise analytics, reporting capabilities, and decision-making processes.

Working closely with IT and cross-functional stakeholders, you’ll gather requirements, optimise workflows, and support the implementation of modern data and reporting frameworks using tools like Power BI . The role focuses on aligning data infrastructure with strategic goals and supporting the rollout of cloud-based solutions.

Key Responsibilities

• Collaborate with stakeholders to define data/reporting needs and document business requirements
• Analyse and improve data processes to support efficient and accurate reporting
• Translate business requirements into technical specifications for data and analytics teams
• Contribute to the development of data models, ETL processes, and system documentation
• Support UAT, training, and adoption of new analytics platforms
• Ensure all reporting solutions meet compliance, governance, and organisational objectives
• Bridge communication between technical teams and business users for aligned outcomes

Experience Required

• Strong background in business analysis , requirements gathering , and process improvement
• Competent experience with ETL/ELT and using appropriate tools.
• Experience with business intelligence tools (e.g. Power BI, Tableau, Qlik)
• Knowledge of data modelling , architecture, and reporting design
• Familiarity with data governance , privacy regulations, and compliance practices
• Excellent communication and stakeholder engagement skills
• Ability to translate technical solutions into business value
• Detail-oriented, analytical, and able to work in fast-paced environments

Desirable Experience

• Experience with cloud analytics platforms (e.g. Azure, AWS, GCP)
• Familiarity with Agile methodologies (Scrum, Kanban)
• Exposure to enterprise or public sector data environments