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Salary
≈ $47k – $96k per year (Estimated)
Location
In office (Leicester)

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 30, 2026. Next scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Next is a British multichannel retailer of clothing, footwear, beauty and homeware, headquartered in Enderby near Leicester, England, and selling through its own stores, its website and international online operations. Next plc is listed on the London Stock Exchange, and the group has expanded into third-party brands, owning labels such as Joules and running UK stores for Victoria's Secret and Bath and Body Works under partnership arrangements. It hires retail sales associates and managers, loss prevention officers, multilingual customer service advisors, buyers, finance and credit risk analysts, test analysts, data staff and maintenance engineers.

The Role

As a Data Analyst within our Finance Operations team at Next, you will play a key role in turning complex operational and financial data into clear, actionable insight.

You will be a core builder of our analytical reporting capability, using SQL, Databricks and Power BI to create trusted data assets, develop reporting solutions and support better decision-making across Finance and Third-Party (TP) Retail Operations.

This is a hands-on role requiring strong technical capability alongside excellent analytical and stakeholder skills. You will work with large and complex datasets, build scalable data solutions, develop engaging Power BI dashboards and translate analysis into clear recommendations for technical and non-technical audiences.

Strong hands on experience in SQL is essential, experience with Power BI and Databricks is highly desirable

This is a fully office-based role and requires you to be based in Leicestershire, with attendance in the office five days a week.

What You Will Do

  • Use SQL/T-SQL to query, transform, analyse and optimise complex operational and financial datasets.

  • Use Databricks to interrogate and investigate data to provide valuable insights for our retails and stock operations.

  • Develop Power BI reporting to provide key insights to our Partners

  • Structure data to support high-performing Power BI solutions, with a strong understanding of DAX and data modelling.

  • Develop and maintain data quality, validation and governance processes to ensure reporting is accurate and trusted.

  • Define KPIs and reporting requirements with Finance and operational stakeholders.

  • Analyse performance, investigate variances and identify opportunities for improvement.

  • Translate complex data into clear, compelling stories and recommendations that influence business decisions.

  • Deliver ad-hoc analysis and reporting to support key operational events and priorities.

  • Work collaboratively with Finance, Retail and other analytical teams to improve reporting and analytical processes.

What You Will Bring

Essential

  • Advanced SQL/T-SQL skills, with the ability to write, optimise and debug complex queries and work with large datasets.
  • Experience creating reliable, scalable data solutions for reporting and analytical consumption.

  • Strong analytical and problem-solving skills, with the ability to turn data into actionable business insight.

  • Excellent communication skills, with the ability to explain complex findings to senior and non-technical stakeholders.

  • A proactive approach with the ability to take ownership of solutions from requirements through to delivery.

  • Experience working in a large-scale operational environment.

Desirable

  • Python experience, particularly for data manipulation and scripting.

  • Strong hands-on Databricks experience, ideally including notebooks, data modelling and ETL/ELT workflows.
  • Strong Power BI development experience, including dashboard design, data modelling and an understanding of DAX.
  • Experience with Databricks Workflows/Jobs and scalable ETL/ELT pipelines.

  • Experience with data governance and quality frameworks

  • Experience within Finance, Retail, Supply Chain or a similar operational environment.
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