Business Intelligence Analyst

GEDU Global Education

27 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

£60,353.0

Working hours

Regular working hours

Job source

www.adzuna.co.uk

Tech stack

Artificial Intelligence Data Analysis Data Dictionary Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Power BI Data Ingestion Microsoft Power Automate

+3 more

Sql Optimization Microsoft Fabric Information Technology

Job description

Reporting to the Data and BI Manager, the BI Analyst will transform business requirements into actionable insights through data analysis, reporting, and visualisation. The role ensures the accuracy, reliability, and usability of BI outputs across GBS. This role involves applying advanced analytics techniques and leveraging modern platforms such as Microsoft Fabric to uncover trends, support forecasting, and improve strategic decision-making across the student lifecycle and wider institutional operations., * Develop, maintain, and enhance interactive dashboards and reports using Power BI.

Translate business requirements into data models, KPIs, and reporting solutions.
Conduct data analysis to identify trends and support evidence-based decision-making.
Ensure data accuracy, consistency, and compliance through strong governance practices.
Use Microsoft Fabric for data ingestion, data engineering, and analytics pipelines.
Automate recurring reporting processes using Fabric, Power Automate, or similar tools.
Support ETL and data integration across multiple internal and external sources.
Perform advanced analytics, including forecasting and predictive modelling.
Present findings through clear data storytelling and visualisation.
Work closely with academic and operational teams to understand reporting needs.

Requirements

Bachelor’s degree in computer science, IT, Data, or related field.
Strong proficiency in BI tools preference Power BI
Advanced SQL and solid understanding of data modelling and DAX.
Hands-on experience with Microsoft Fabric.
Experience with ETL tools and data warehousing concepts
Experience with Python or R for advanced analytics
Strong communication and collaboration skills.
Strong documentation skills (user guides, data dictionaries).

DESIRABLE SKILLS and EXPERIENCE:

Awareness of AI/GenAI use cases in BI and analytics
Familiarity with data governance, privacy, and compliance (GDPR)
Experience working with student-related data (attendance, enrolment, progression, continuation).
Experience in Higher Education (HESA, OfS reporting).
Power BI or Microsoft Fabric certification.
Experience with Power Automate or Fabric pipelines.