Finance Analyst
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Key skills for this role
About the Role
Fresha is looking for a Finance Analyst to own quantitative inputs driving Finance operations, including board and investor reporting, unit economics, and budgeting. The role requires hands-on SQL skills, experience building unit economics models, and direct experience supporting investor or board reporting.
Key Skills for This Role
Responsibilities
- Own the data inputs for quarterly board packs, investor reports, and investor related deliverables.
- Prepare and maintain the reporting calendar for all external and internal Finance outputs.
- Build and maintain partner, revenue, and gross profit retention schedules — GRR and NRR across any period.
- Ensure all Finance inputs to Commercial Performance Update (CPU) decks are accurate, complete, and submitted on time.
- Own deal level unit economics by country: forecast revenue, gross profit, and contribution margin.
- Maintain and evolve the attribution model across Organic, Marketing, and Direct Sales channels.
- Build and maintain cohort level financial models, including CAC, LTV, and payback period.
- Construct operating and financial models to evaluate strategic opportunities and present findings to senior stakeholders.
- Provide Finance Ops with all required data extracts to support month end close, reconciliations, and audits.
- Maintain and update the financial model used for budgeting and forecasting; pull actuals and provide variance analysis.
- Identify and flag data anomalies proactively before they surface in reporting.
- Work directly in the data warehouse to extract, validate, and maintain Finance required datasets.
Requirements
- 4+ years in financial analysis, commercial finance, or a data heavy strategy role at a high growth technology company.
- Direct experience supporting investor or board reporting you understand what a board pack requires and why it matters.
- Hands on SQL skills: you can write your own queries, not just interpret other people's outputs.
- Experience building unit economics models (CAC, LTV, payback, cohort analysis) from scratch.
- Exposure to marketplace or SaaS business models and the metrics that matter (GMV, take rate, net revenue retention, partner economics).
- Strong attention to detail with ability to reconcile data across multiple sources and spot when something is off.
- Comfortable presenting analysis directly to senior stakeholders executive and director level.
- Degree in Finance, Economics, or a related field.
- Previous experience at a VC or PE backed tech company; familiarity with investor relations and the cadence of reporting obligations that come with institutional backing.
- Python or equivalent for data manipulation and automation.
- Professional qualification: CFA, CMA, ACCA, or equivalent.
- Experience with M&A or due diligence processes; familiarity with corporate documents.
Full Job Posting
About Fresha
- Fresha is the AI powered operating system for the global beauty, wellness and self care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.
- Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.
- The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.
- Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all in one platform to manage their entire operations with an intuitive business software and financial tech
- Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point of sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.
- The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.
The Role
- This is a high impact individual contributor role that bridges Finance and data.
- You will be the primary owner of all quantitative inputs that drive Finance operations — from board and investor reporting to unit economics and budgeting.
- You will work directly in the data warehouse, own the Finance reporting calendar, and partner closely with Analytics, Finance Ops, and senior leadership.
- The role is critical to how Finance operates at Fresha. You will not be producing reports in the background — you will be the person leadership turns to when they need a number, a model, or an answer.
What You'll Do
- Own the data inputs for quarterly board packs, investor reports, and investor related deliverables
- Prepare and maintain the reporting calendar for all external and internal Finance outputs
- Build and maintain partner, revenue, and gross profit retention schedules — GRR and NRR across any period
- Ensure all Finance inputs to Commercial Performance Update (CPU) decks are accurate, complete, and submitted on time
- Own deal level unit economics by country: forecast revenue, gross profit, and contribution margin
- Maintain and evolve the attribution model across Organic, Marketing, and Direct Sales channels
- Build and maintain cohort level financial models, including CAC, LTV, and payback period
- Construct operating and financial models to evaluate strategic opportunities and present findings to senior stakeholders
- Provide Finance Ops with all required data extracts to support month end close, reconciliations, and audits
- Maintain and update the financial model used for budgeting and forecasting; pull actuals and provide variance analysis
- Identify and flag data anomalies proactively before they surface in reporting
- Work directly in the data warehouse to extract, validate, and maintain Finance required datasets
What We're Looking For
- 4+ years in financial analysis, commercial finance, or a data heavy strategy role at a high growth technology company
- Direct experience supporting investor or board reporting you understand what a board pack requires and why it matters
- Hands on SQL skills: you can write your own queries, not just interpret other people's outputs
- Experience building unit economics models (CAC, LTV, payback, cohort analysis) from scratch
- Exposure to marketplace or SaaS business models and the metrics that matter (GMV, take rate, net revenue retention, partner economics)
- Strong attention to detail with ability to reconcile data across multiple sources and spot when something is off
- Comfortable presenting analysis directly to senior stakeholders executive and director level
- Degree in Finance, Economics, or a related field
- Previous experience at a VC or PE backed tech company; familiarity with investor relations and the cadence of reporting obligations that come with institutional backing
- Python or equivalent for data manipulation and automation
- Professional qualification: CFA, CMA, ACCA, or equivalent
- Experience with M&A or due diligence processes; familiarity with corporate documents
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