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 4+ years in financial analysis at a high-growth tech company.
Key Skills for This Role
Responsibilities
- Own data inputs for quarterly board packs, investor reports, and investor related deliverables
- Prepare and maintain reporting calendar for all external and internal Finance outputs
- Build and maintain partner, revenue, and gross profit retention schedules (GRR and NRR)
- Own deal level unit economics by country: forecast revenue, gross profit, and contribution margin
- Maintain and evolve attribution model across Organic, Marketing, and Direct Sales channels
- Build and maintain cohort level financial models including CAC, LTV, and payback period
- Provide Finance Ops with data extracts to support month end close, reconciliations, and audits
- Maintain and update financial model for budgeting and forecasting; pull actuals and provide variance analysis
- Work directly in data warehouse to extract, validate, and maintain Finance required datasets
- Partner with Data Engineering to ensure Finance metrics are correctly defined and available
Requirements
- 4+ years in financial analysis, commercial finance, or data heavy strategy role at 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
- Degree in Finance, Economics, or related field
- Python or equivalent for data manipulation and automation
- Professional qualification: CFA, CMA, ACCA, or equivalent
Full Job Posting
About Fresha
- Fresha is the AI powered operating system for the global beauty, wellness and self care industry.
- Trusted by millions, used by 140,000+ businesses and 450,000+ professionals worldwide.
- Headquartered in London 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.
- Works directly in data warehouse, owns Finance reporting calendar, partners with Analytics, Finance Ops, and senior leadership.
What You'll Do
- Own data inputs for quarterly board packs, investor reports, and investor related deliverables.
- Prepare and maintain 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 decks are accurate and on time.
- Own deal level unit economics by country: forecast revenue, gross profit, and contribution margin.
- Maintain and evolve 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.
- Provide Finance Ops with data extracts to support month end close, reconciliations, and audits.
- Maintain and update financial model for budgeting and forecasting; pull actuals and provide variance analysis.
- Identify and flag data anomalies proactively.
- Work directly in data warehouse to extract, validate, and maintain Finance required datasets.
What We're Looking For
- 4+ years in financial analysis, commercial finance, or data heavy strategy role at 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 related field.
- Previous experience at VC or PE backed tech company (strongly preferred).
- Python or equivalent for data manipulation and automation (strongly preferred).
- Professional qualification: CFA, CMA, ACCA, or equivalent (good to have).
- Experience with M&A or due diligence processes (good to have).
Inclusive workforce
- Fresha is creating a culture where individuals of all backgrounds feel comfortable.
- All Fresha people feel included and empowered to contribute fully.
- 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.
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