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A leading recruitment agency is seeking an experienced Data Analyst in Poole. The role involves analyzing data to generate actionable insights, shaping data architecture, and collaborating with stakeholders. Applicants should have a Bachelor's degree in a related field, proficiency in SQL and data visualization tools like Power BI. The position offers a salary up to £50k plus a bonus, with additional benefits including flexible working arrangements after probation.
Location : Poole
Salary : to £50k DOE + annual discretionary bonus c 10% of annual salary
Hours : 8.30am-5pm Mon-Fri Office based (some hybrid after probation)
Benefits : 25 days hols + Christmas shutdown, parking permit, onsite gym with exercise classes weekly. Modern open plan offices. New benefits package in 2026, regular socials, charity days, large staff room
Aspire Jobs are working exclusively with our client who have been established for over 40 years and who have a impressive growth plan for the next 3-5 years.
Now looking for an experienced, highly analytical and detail focused Data Analyst to help them work out what the data is currently doing for the business and helping set up and analyse new processes to make that more accessible.
In this role, you will harness data from across the organisation to generate actionable insights that drive strategic decision-making, enhance risk management, and improve operational efficiency.
Reporting to the Head of IT, you will play a key role in shaping the future data architecture of the business.
This includes ensuring that their technical platforms, data models, and analytical capabilities are aligned with both current needs and the long-term vision of becoming a truly data driven organisation.
You will work closely with stakeholders across all operational levels and departments, identifying opportunities to maximise the value of data.
Additionally, you will provide guidance on the effective use of business analytics platforms, promote the adoption of corporate data models, and support the principles of data ownership and governance.