Data Business Analyst
20 hours ago
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
-
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