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BI Developer

Job in Chatham, Kent County, ME4, England, UK
Listing for: hireful
Part Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Intelligence
Salary/Wage Range or Industry Benchmark: 38000 GBP Yearly GBP 38000.00 YEAR
Job Description & How to Apply Below

Are you passionate about data and excited by the opportunity to turn complex information into meaningful insight? We’re looking for a Business Intelligence Developer to join our ICT and Business Transformation team, working alongside our ICT DBA & BI Administrator to deliver high-quality data solutions that support better business decisions.

This is an excellent opportunity for someone with strong SQL skills who wants to develop their career across Business Intelligence, data analysis, data integration and reporting. You’ll work with databases, data warehouses and other sources to extract, transform and analyse large datasets, developing practical solutions that solve real business problems.

You’ll use the Microsoft BI Suite, including SQL Server, SSIS and SSRS, to build data integrations, reports and data models, while supporting and maintaining existing databases and BI systems. You’ll also provide ad-hoc analysis, work closely with internal teams to understand their requirements, and help identify opportunities where better use of data can improve performance and customer outcomes.

Role

BI Developer aka Junior BI Developer, Business Intelligence Analyst, SQL Developer, Data Analyst

Location

Chatham, Kent (Hybrid working – 3 days a week in the office, 2 from home) For the initial period, you will be in the office 4-5 days a week while you get to grips with the role.

Salary

£38k base salary + great employee benefits

Key Requirements

You’ll bring experience in a BI related role, skilled in writing and editing T-SQL, views, stored procedures and ad-hoc queries. You’ll have strong Excel skills and excellent attention to detail. Knowledge of SSMS, SSIS, SSRS, data modelling, Power Query, Pivot Tables or Python would be advantageous, but a willingness to learn is equally important.

If you’re analytical, curious and enjoy solving problems with data, this is a fantastic opportunity to build a career in BI, data analytics and data engineering while making a genuine difference to the organisation and its customers.

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