Finance Analyst
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Key skills for this role
About the Role
Fresha is seeking a Finance Analyst to own quantitative inputs for 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 work in the data warehouse.
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)
- Ensure all Finance inputs to Commercial Performance Update (CPU) decks are accurate 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
- Hands on SQL skills
- Experience building unit economics models (CAC, LTV, payback, cohort analysis) from scratch
- Exposure to marketplace or SaaS business models
- Strong attention to detail with ability to reconcile data across multiple sources
- Comfortable presenting analysis directly to senior stakeholders
- Degree in Finance, Economics, or a related field
- Previous experience at a VC or PE backed tech company
- Python or equivalent for data manipulation and automation
- Professional qualification: CFA, CMA, ACCA, or equivalent
- Experience with M&A or due diligence processes
Full Job Posting
About Fresha
- Fresha is the AI powered operating system for the global beauty, wellness and self care industry.
- Trusted by millions of consumers and businesses worldwide, used by 140,000+ businesses and 450,000+ stylists and professionals.
- Headquartered in London, UK, with 15 global offices across North America, EMEA and APAC.
The Role
- High impact individual contributor role bridging Finance and data.
- Primary owner of all quantitative inputs driving Finance operations, from board and investor reporting to unit economics and budgeting.
- Work directly in the data warehouse, own the Finance reporting calendar, and partner closely with Analytics, Finance Ops, and senior leadership.
What You'll Do Financial & Investor Reporting
- 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).
- Ensure all Finance inputs to Commercial Performance Update (CPU) decks are accurate, complete, and submitted on time.
What You'll Do Unit Economics & Modelling
- 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.
What You'll Do Finance Operations
- 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.
What You'll Do Data & Analytics Partnership
- Work directly in the data warehouse to extract, validate, and maintain Finance required datasets.
- Partner with Data Engineering to ensure Finance metrics are correctly defined and available in the right tables.
- Drive adoption of data driven decision making across commercial and Finance functions.
Essential
- 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.
- Hands on SQL skills: you can write your own queries.
- 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.
- Comfortable presenting analysis directly to senior stakeholders executive and director level.
- Degree in Finance, Economics, or a related field.
Strongly Preferred
- Previous experience at a VC or PE backed tech company; familiarity with investor relations and reporting obligations.
- Python or equivalent for data manipulation and automation.
Good to Have
- Professional qualification: CFA, CMA, ACCA, or equivalent.
- Experience with M&A or due diligence processes; familiarity with corporate documents.
Inclusive workforce
- At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.
- We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics.
- We may use AI tools to support parts of the hiring process, but final hiring decisions are made by humans.
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