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Junior Commercial Data Analyst – Power BI & Excel

Club L London

Manchester

On-site

GBP 25,000 - 35,000

Full time

Yesterday
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Job summary

A fashion retail company in Manchester is seeking a Commercial Analyst Assistant to support the Finance Team. This role involves data preparation, modelling, and reporting, perfect for a graduate looking to build a career in commercial finance. Responsibilities include assisting the Commercial Analyst with large datasets, reconciliations, and ad-hoc reporting tasks. The position offers competitive salary and various employee benefits including flexible working hours and a gym onsite.

Benefits

Competitive salary
25 days of annual leave
Extra day off for birthday
Flexible working hours
Early Finish Fridays
Cycle to work scheme
40% staff discount
Healthcare Cashplan
Free onsite gym
Annual bonus scheme
Social events
Free snacks, drinks & treats

Qualifications

  • Graduate or early-career professional with an interest in finance and data analysis.
  • Strong skills in Microsoft Excel, particularly Power Query and Power Pivot.
  • High attention to detail and comfortable working with large datasets.
  • Good communicator, able to explain findings clearly.
  • Eager to learn and progress into a commercial/analytical role.

Responsibilities

  • Support the Commercial Analyst with data preparation and modelling.
  • Manage large datasets in Excel/Power BI for reporting.
  • Assist with reconciliations and maintain accuracy of reports.
  • Prepare data for reporting packs and dashboards.
  • Support ad-hoc reporting requests.

Skills

Microsoft Excel
Power Query
Data analysis
Power BI

Education

Graduate or early-career professional

Tools

Excel
Power BI
Job description
A fashion retail company in Manchester is seeking a Commercial Analyst Assistant to support the Finance Team. This role involves data preparation, modelling, and reporting, perfect for a graduate looking to build a career in commercial finance. Responsibilities include assisting the Commercial Analyst with large datasets, reconciliations, and ad-hoc reporting tasks. The position offers competitive salary and various employee benefits including flexible working hours and a gym onsite.
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