National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Commercial Finance Business Partner

Maidenhead
6 days ago
Create job alert

An International FMCG business is currently experiencing exponential growth and is looking to expand their Commercial Finance team.

My client is currently recruiting for a Commercial Finance Business Partner role reporting into the Head of Commercial Finance. The role and business offers excellent hybrid working options and excellent progression opportunities for the right individual.

Responsibilities:

Finance Business Partner with the account managers for the major retailers

Forecasting, understanding financial performance and promotions profitability

Be responsible for new product sign offs and investment appraisals.

Collaborate closely with the Sales team to determine financial models specifically related to cost price negotiations

Brand, product category and product reporting - sales (volume & mix), cost, margin.

Analyse and report on brand profitability.
Sales reporting and analysis for senior level stakeholders.
Analysis of KPI reports including channel, customer, product profitability providing investigation and commentary on variance to plan for a range of senior Directors.
Month end commentary and analysis of sales and margin comparisons to budget and prior year, liaison with Commercial team to understand/challenge and draw insight on performance, risks and opportunities
Robust commercial, trend and business analysis across customer, categories & products
Interpretation of large stack quantitative and qualitative data, provide meaningful insight to drive action in conjunction with the Commercial Director and commercial teams
Ensure complex information and data is turned into clear and digestible information
Support decision making across the commercial teams with insightful and accurate recommendations
Monitor, analyse and evaluate promotional and marketing spend vs sales growth and net margin across channels and customers
Responsible for setting up, maintaining, and auditing contract pricing and bespoke promotions file
Responsible for updating and maintaining customer terms & overriders tracker by account
Taking a lead role in the budgeting and forecasting process working with commercial and finance teams
Work closely with Finance team to ensure accurate allocation of deductions, understanding drivers of distribution,
Building partnerships and maintaining strong relationships with all senior managers and their team
Support the planning and budgeting process around production, distribution, costing and purchasing.
Highlight future performance concerns and opportunities and take a lead role in planning commercial activities required to remediate any gaps to target.Requirements:

Finance professional with significant post qualified experience; FMCG experience preferred
CIMA /ACA/ACCA Qualified preferred
Strong verbal and written communication skills to influence at all levelsBy applying you will be registered as a candidate with Marc Daniels Specialist Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your personal data

Related Jobs

View all jobs

Finance Business Partner

Junior Finance Analyst

Commercial Finance Manager

Finance Business Partner

Finance Business Partner

Head of Group Financial Planning & Analysis

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.