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Commerical data analyst

Brackley
Sf Recruitment
Data analyst
£55,000 - £60,000 a year
Posted: 18h ago
Offer description

Location: Hybrid (c.3 days per week on-site, Midlands)
Salary: £55,000-£60,000 + Bonus
Reporting to: Senior Finance Lead
Type: Permanent

The role

This is a hands-on analytics role within a PE-backed business that is currently under performance scrutiny and therefore requires robust, defensible reporting and analysis.

The focus of the role is not advanced data science or marginal optimisation. Instead, it is about extracting, cleaning, transforming and presenting data so senior leadership and investors can clearly understand what is happening in the business and make informed decisions.

The business currently relies on manual weekly reporting and needs someone to own and improve this end-to-end, while gradually moving reporting into a more automated, Power BI-led environment.

What you'll be responsible for

Extracting data from an ERP system (e.g. NetSuite)

Transforming and validating data using tools such as Alteryx or SQL-based workflows

Producing accurate, repeatable weekly reporting for PE stakeholders

Reducing reliance on manual Excel processes through automation

Building Power BI outputs once data has been cleaned and structured

Supporting senior management with ad-hoc analysis ahead of key meetings

Translating raw data into clear, understandable outputs that non-technical stakeholders can use

Supporting analysis around commercial and cost drivers (e.g. warranty costs) with material business impact

What the business is looking for

Strong data analysis capability with a focus on accuracy and data quality

Power BI experience (important, but not at the expense of data control)

Experience using data transformation tools (Alteryx preferred, SQL acceptable)

Comfortable working with imperfect data and cleaning it before reporting

Able to work autonomously in a hands-on individual contributor role

Comfortable operating in a PE-backed environment with regular performance reporting

Pragmatic, commercially aware, and able to explain what the data is saying, not just produce dashboards

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