Financial Analytics Associate

We are currently evolving our function from traditional reporting into a data-driven strategic powerhouse. We’ve ditched the clunky, manual spreadsheets of the past for a warehouse-first approach. Operating at the intersection of Financial Planning and Data Analytics, we use a modern stack (BigQuery, Python, and Hex) to find the "why" behind the numbers. If you believe finance should be a strategic partner rather than just a reporting centre, you’ll fit right in.

As our new Financial Analytics Associate, you’ll be the bridge between raw data and commercial action. This isn’t about just keeping the lights on; it’s about upgrading the bulb to a smart-sensor LED. You will help us move away from manual legwork and toward performing deep statistical analysis. Your mission is to build scalable, self-serve models that allow the business to move fast, while you focus on providing the high-impact commentary that shapes our future.

What you will do:

• Analyse spend, evaluate channel performance, and help set CPA targets that actually align with our financial north star.
• Support end-to-end forecasting using warehouse data and statistical trends.
• Partner with the Financial Control team to ensure budget-setting is seamless and integrated into our strategic reporting.
• Collaborate across Ops and Marketing to sniff out opportunities to improve unit economics and maximise performance.
• Provide the "voice" for the data—delivering clear, actionable commentary that keeps the leadership team informed.

Who you are:

• Newly Qualified (or up to 1 year PQE). You’ve got your ACCA, CIMA, ACA, or equivalent under your belt and are ready to apply it.
• A Data-First Thinker: You’ve moved past "Excel-only" thinking. You have a modern analytics mindset and are either already proficient in, or obsessed with mastering, SQL, Python, and Hex to replace manual legwork with code.
• A D2C Enthusiast: You speak the language of subscriptions. You live and breathe unit economics, intuitively understanding how CPA and Acquisition ROI flow into LTV, Churn, and Cohort analysis.
• An Efficiency Architect: You aren’t afraid of the "AI revolution", you’re leading it. You’re keen to integrate LLMs into your daily workflow to automate the mundane and protect your time for high-value analysis.
• A Storyteller of Complexity: You have the rare ability to take messy, multi-source data and distill it into accurate, scalable P&L and Cash Flow models that tell a clear, compelling story.

Our hiring process:

We are a remote-first team, and our hiring process reflects that. Every stage is conducted via Google Meets, allowing us to connect with the best talent regardless of where your home office is.

• Hiring Manager Screen (45 mins): We’ll dive into your professional journey, your transition into modern finance, and how your experience aligns with our move toward a warehouse-first powerhouse.
• Remote loop: The Technical Deep-Dive (60 mins). This is a skills-based session where we explore your technical toolkit. We want to hear how you use SQL, Python, or Hex to automate the mundane and turn raw warehouse data into actionable financial models.
• The Collaborative (60 mins): This interview focuses on your behavioural experience. We’re looking for how you partner with other teams, influence stakeholders, and act as the "voice" of the data in a collaborative environment.

We want to hear from you. The experience, skills, and attributes we’ve outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don’t hesitate to apply—even if you don’t meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.