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

Nominate & Attend

Commercial Finance Director

Swissklip
Newcastle upon Tyne
6 months ago
Applications closed

Related Jobs

View all jobs

Commercial Finance Data Analyst

Finance Manager - Aug/Sept start

Sales Data Analyst

Data Analyst

Data Analyst

Senior Data Analyst

Swissklip is one of the fastest-growing and most innovative DTC brands in the world (we might be biased) though we hit 8-figures in 2 years and are racing beyond that now! The business is currently US-focused with international plans, and the management team is spread across the US, UK, and Western Europe. We’re a team of data-first, curated e-commerce experts (multiple successful projects with $700M+ in collective experience) and have formed a self-improvement, driven culture of A-players in their respective fields.


We’re scrappy and professional.


We’re hungry and measured.


We’re sure of our direction and flexible to change.


We're going head to head with the 1% of DTC King Kongs. And our mission? To conquer the 9-figure revenue mark and make our dent on the personal care industry while we're at it.


Our product arsenal includes top-selling products like toenail clippers for thick nails (because regular ones just don't cut it), anti-fungal topicals, teeth whitening foams, and more - we're the secret weapon for the 50+ demographic in the U.S. who want to look and feel their best. And while we know some of the products we sell aren’t the ‘sexiest’ products to sell, there’s a genuine demand currently underserved by ineffective solutions in the market.


Who We're Looking For


Reporting directly to the CEO, we're looking for a person looking to step into aCommercial Finance Directorrole with a strong background in D2C ecommerce. Currently, there isn't a data analyst or commercial analyst in place, but there are data tools and automated reporting already set up that the team lives by. The business is entirely data first, and we want to be even better with what we're analysing.


We're a startup, so there's no hiding from this fact: your role will demand a balance of both hands-on financial analysis and strategic thinking. You’ll navigate detailed data work while shaping high-level strategies to drive business growth. To give you a clearer picture of the role’s scope, here are some example questions we might expect you to address:


Marketing & Customer Insights

  • How do we allocate spend between marketing channels to be more efficient? What factors should we measure performance by and why?
  • Is there better retention in one channel than another and how should the business change its marketing execution strategies?
  • How do we set up to track customer lifetime value and use it in a way that’s helpful to the business? Can you execute that and drive the use of it through the business?
  • How can we leverage customer service data throughout the business in an effective way?


Pricing and Performance Optimization

  • What is the optimal pricing of our products when considering conversion and operating margin?
  • At what level should we set financial KPIs/targets across the business and track them against targets?
  • What other parts of the business are we not leveraging the data available in the best way to drive performance either on the topline or bottom line? Could you figure out a way to show its value without needing to invest heavily in a new tool to do it?


Forecasting and Financial Operations

  • Are we forecasting sales stock and purchases in the right way? What way should it be and why?
  • Where can we improve our cashflow to give the business security? You should know how and where to look for efficiencies in the financials to do this.
  • What’s the efficiency of taking financing, when/if should we take one, and whether or not there would be a return on this investment?
  • What checks and balances can you put in place to ensure financial confidence in the business?


This role is neither limited to finance, nor data but you'll have a strong involvement in both. It would also touch on every part of the business that deals with data, wherever you think you could add value. You may not have done it all before; in fact, it’s highly likely you've not done it all before, but reading those questions above you should pique your interest and you should have a good idea already about what you'd need to get access to so you can figure it out.


Further responsibilites would include


Data Integrity

Maintain and improve the data tools we run, ensuring it scales efficiently as the business grows and remains adaptable to evolving data needs.


Dashboard Maintenance & Enhancement

Oversee the creation and upkeep of dashboards, ensuring they provide accurate, real-time insights for decision-making across departments.


Financial Controls & Compliance

Implement checks and balances to ensure financial accuracy, prevent errors, and maintain compliance with accounting standards.


Performance Monitoring & Reporting

Develop systems for monitoring financial performance and prepare reports for leadership to support strategic decision-making and board communication.


Process Automation

Identify opportunities to automate repetitive financial and data tasks to improve efficiency and reduce manual effort.



What you need to bring to the table

  • Experience:Proven track record as a analyst or in a finance/commercial finance role or equivalent in an ecommerce D2C physical product business. This is non-negotiable - your must have previous experience in a business which ships physical products to consumers (i.e. not digital products, and not B2B)
  • Data Enthusiasm:You eat excel for breakfast. You're probably the person people go to for excel help. You ideally have experience with Power BI, Tableau or SQL also.
  • Financial Literacy:You know how to read P&Ls, balance sheets, cashflow statements.
  • Forecasting:You've spent time building forecasting models on micro and macro parts of the business.
  • Leadership Skills:While this role won't start with any direct reports, you'll likely have been a manager before. You'll be part of a business where you'll be leading the adoption of new initiatives, new reports and new projects. You'll need to be excellent at conveying ideas and getting everyone on board with your ideas.
  • Restless Resilience:You give a s***, you care, and you get things done.


Why You'll Love Working with Us

  • Fast-Paced Environment:We move quickly and adapt even faster- no red tape here.
  • Talented Team:Join a group of passionate professionals who are as fun as they are skilled.
  • Flexibility:Work from wherever you feel most comfortable - your results matter more than your location.
  • Make an Impact:Your work will directly influence our brand's success. You're not a small piece of a big machine, in fact you're not even part of the machine, you're going to helpbuildthe machine.
  • Hired as a contractor:Tax-efficient working for you, and this can be discussed.
  • Embrace Innovation:We welcome fresh ideas and creative risk-taking.
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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.