Financial Analytics Associate
Financial Analytics Associate

Financial Analytics Associate

Entry level 36000 - 60000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Transform raw data into strategic insights and build scalable financial models.
  • Company: Join a forward-thinking team revolutionising finance with data-driven strategies.
  • Benefits: Remote-first work culture, growth opportunities, and a focus on professional development.
  • Why this job: Be at the forefront of financial analytics and make a real impact on business decisions.
  • Qualifications: Newly qualified in finance with a passion for data analytics and modern tools.
  • Other info: Collaborative environment with a commitment to nurturing talent and potential.

The predicted salary is between 36000 - 60000 £ per year.

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

  • 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)
  • 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 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.

Financial Analytics Associate employer: ZOE

At ZOE, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. Our remote-first culture empowers you to work flexibly while engaging in meaningful projects that drive strategic financial insights. With a commitment to employee growth, we offer ample opportunities for professional development, ensuring you thrive as a Financial Analytics Associate in a dynamic and supportive environment.
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Contact Detail:

ZOE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Financial Analytics Associate

✨Tip Number 1

Get comfy with video calls! Since our hiring process is all remote, practice your video interview skills. Make sure your tech is sorted, and find a quiet spot where you can shine. Remember, first impressions count!

✨Tip Number 2

Show off your data skills! Be ready to discuss how you've used SQL, Python, or Hex in past projects. We want to see your analytical mindset in action, so prepare some examples that highlight your problem-solving abilities.

✨Tip Number 3

Collaboration is key! Think about times you've worked with other teams and how you influenced decisions. We love team players who can communicate complex data insights clearly, so have those stories ready to share.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our mission. Let’s make finance a strategic powerhouse together!

We think you need these skills to ace Financial Analytics Associate

Financial Analysis
Data Analytics
SQL
Python
Hex
Statistical Analysis
Forecasting
Budgeting
Unit Economics
CPA Target Setting
Cohort Analysis
Communication Skills
Collaboration
Problem-Solving Skills
Automation

Some tips for your application 🫡

Show Your Data-Driven Mindset: When you're writing your application, make sure to highlight your analytical skills and how you've used data to drive decisions in the past. We want to see that you’re not just about numbers but about the stories they tell!

Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our Financial Analytics Associate role. Mention specific tools like SQL, Python, or Hex that you’re familiar with, and how they relate to the job description.

Be Authentic: We love seeing the real you! Don’t be afraid to let your personality shine through in your application. Share your passion for finance and analytics, and why you believe in using data as a strategic partner.

Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!

How to prepare for a job interview at ZOE

✨Know Your Tools

Make sure you’re well-versed in SQL, Python, and Hex. Brush up on how you’ve used these tools in past projects to automate tasks and analyse data. Be ready to discuss specific examples of how you turned raw data into actionable insights.

✨Understand the Business

Familiarise yourself with the company’s financial goals and how they align with their data strategy. Think about how your role as a Financial Analytics Associate can impact their bottom line and be prepared to share your thoughts on improving unit economics.

✨Prepare for Technical Deep-Dive

During the technical interview, expect to showcase your analytical skills. Prepare to solve problems on the spot using your technical toolkit. Practise explaining your thought process clearly, as this will demonstrate your ability to communicate complex ideas effectively.

✨Show Your Collaborative Spirit

Since collaboration is key in this role, think of examples where you’ve successfully partnered with other teams. Be ready to discuss how you’ve influenced stakeholders and acted as the 'voice' of the data in previous experiences. This will highlight your teamwork skills and adaptability.

Financial Analytics Associate
ZOE

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