Commercial Finance Analyst: Turn Data into Decisions

Holland & Barrett

Nuneaton

Hybrid

GBP 36,000 - 48,000

Full time

6 days ago
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Benefits offered by this job

33 days holidays
Private medical insurance
Pension plan
Life assurance 2x salary
Colleague product allowance
Wellhub membership
Cycle to Work
Retail discounts

Job summary

Holland & Barrett in Nuneaton seeks a Finance Analyst to partner with Finance Business Partners and commercial teams. You’ll analyse performance, provide insights, and support month-end close while engaging with budgeting and forecasting.

You’ll bring strong Excel skills, experience in finance, and exposure to Power BI or SQL; retail finance experience is advantageous. Hybrid 2-days in-office with occasional travel.

Qualifications

  • You’ll have experience as a Finance Analyst, Management Accountant, or similar with strong month-end grounding.
  • You’re confident with Excel, Pivot Tables, SUMIFS and lookups.
  • Experience in Retail or Commercial Finance is useful; progress toward professional qualifications is a plus.

Responsibilities

  • Analyse performance against budget, forecast and prior year; identify drivers.
  • Turn financial data into actionable insight for decision-makers.
  • Support weekly/monthly reporting and month-end close.
  • Participate in budgeting, forecasting and scenario modelling.
  • Prepare analyses for commercial decisions and investment cases.
  • Collaborate with Finance Business Partners and non-finance teams.
  • Identify opportunities to simplify reporting and processes.

Skills

Finance Analyst
Management Accountant
Excel (Pivot Tables, SUMIFS, lookups)
Power BI
SQL
CIMA / ACCA / ACA (studying)

Education

CIMA/ACCA/ACA progression

Tools

Power BI
SQL

Job description

Holland & Barrett in Nuneaton seeks a Finance Analyst to partner with Finance Business Partners and commercial teams. You’ll analyse performance, provide insights, and support month-end close while engaging with budgeting and forecasting.

You’ll bring strong Excel skills, experience in finance, and exposure to Power BI or SQL; retail finance experience is advantageous. Hybrid 2-days in-office with occasional travel.

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