Finance Analyst
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Key skills for this role
About the Role
Fresha is seeking a Finance Analyst to own quantitative inputs driving Finance operations, including board and investor reporting, unit economics, and budgeting. The role requires working directly in the data warehouse, building financial models, and partnering with Analytics and senior leadership.
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 and 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
- 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: can write 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
- 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
Full Job Posting
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.
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 across any period
- Ensure all Finance inputs to Commercial Performance Update (CPU) decks are accurate, complete, and submitted on time
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
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
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 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
Strongly Preferred
- 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
Good to Have
- Professional qualification: CFA, CMA, ACCA, or equivalent
- Experience with M&A or due diligence processes; familiarity with corporate documents
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