Commercial Finance Manager

Hawkstone
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Reporting & Data Analyst

Senior Data Analyst

B2C Data Scientist (Crawley, GB, RH10 9AD)

Senior Data Analyst

B2C Data Scientist (Crawley, GB, RH10 9AD)

Actuarial Data Scientist

Join the 24th fastest-growing company in the UK at the forefront of the drinks industry. Continuing their impressive journey and looking for a highly skilled Commercial Finance Manager to play a key role in driving profitability and strategic success.


This pivotal role is perfect for someone with a passion for financial modelling, big data analytics, and dashboard reporting who thrives in a collaborative, high-performance environment. You will be a critical business partner, delivering actionable insights to both Sales and Marketing teams.


The Company…


  • Hawkstone's mission isto honour the blood sweat and tears of British farmers by turning their barley, wheat, apples and botanicals into the world’s best beer, cider and spirits
  • Every Hawkstone product is a unique combination of hard work, quality ingredients, brewing expertise and personality. This shines through everything they do, giving Hawkstone a distinct tone and making it a thoroughly modern, influencer-driven brand.


Why Join Hawkstone?


  • Be part of the24th fastest-growing company in the UK.
  • Shape a high-profile brand that’s redefining the drinks industry.
  • Take on a central, impactful role in a team that thrives on autonomy and creativity.
  • Join at an exciting time as they expand into new markets and continue to grow.


Ways of working


  • Working from the brewery at Bourton on the Water 2/3 days a week, rest can be WFH


The Role


AsCommercial Finance Manager, you’ll be responsible for:


  • Financial Modelling & Scenario Analysis:
  • Design, build, and maintain advanced Excel models for forecasting, budgeting, and strategic planning.
  • Develop scenario models to assess the impact of trade spend, rebates, and other financial drivers.
  • Dashboard Design & Ownership:
  • Create and manage user-friendly dashboards integrating multiple data sources (e.g., Brew, Shopify) to deliver insights on:
  • Actual vs. Budget/Forecast performance.
  • Channel and Brand Analysis.
  • Sales and Marketing KPIs.
  • Ensure data accuracy and seamless alignment across platforms.
  • Big Data & MI Reporting:
  • Manage large datasets to extract meaningful insights and deliver Management Information (MI) reports to inform decision-making.
  • Margin & Trade Spend Analysis:
  • Analyse margins across products and channels to identify opportunities for improvement.
  • Monitor and optimize trade spend, including rebates and retro discounting.
  • Business Partnering:
  • Support the Sales team with strategic insights into rebates, retro reporting, and trade spend ROI.
  • Collaborate with Marketing on promotional spend analysis, campaign effectiveness, and other strategic inputs.
  • Cost of Goods Sold (COGS) Analysis:
  • Enhance understanding of COGS and identify opportunities for cost optimization.
  • Strategic Support:
  • Act as a trusted advisor to senior leadership, providing actionable insights that drive commercial decisions.
  • Present complex data clearly to non-finance stakeholders.


About You


  • Advanced Excel modelling skills are critical, with proven experience in designing, maintaining, and scaling complex models.
  • Expertise in dashboard reporting, including tools such as Power BI or Tableau, with the ability to synthesize data from multiple sources into intuitive reporting solutions.
  • Ideallya qualified accountant (ACA, ACCA, CIMA) with 2+ years PQE
  • Strong understanding of big data and proficiency in aligning systems like Brew and Shopify.
  • Previous experience with rebate and retro reporting, trade spend analysis
  • Strong analytical mindset and attention to detail, with a focus on actionable insights.
  • Excellent communication skills and the ability to collaborate effectively with Sales and Marketing teams.


Key requirements...

  • Candidates must have advanced Excel modelling skills and previous experience implementing dashboard reporting
  • Location should be within an hour of the brewery (Bourton on the Water, GL54 2HN)


We will be shortlisting for this role on an ongoing basis – interviews commencing early December. The first stage interviews will be held via Teams and the second stage interviews will be in person in Bourton on the Water.


How can we make our recruitment process more accessible for you? You can always talk to us about any adjustments you need to make your life easier.


We’re always open to your thoughts and suggestions to make what we do more accessible. Get in touch and let’s work together to make recruitment fair for everyone.


Feedback is extremely important, not only is it common courtesy we know it can help improve mental health, provide clarity and help you improve. Marvel FMCG will aim to respond to all applications within 2 working days.


Responding makes us human.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.