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دبي, الإمارات العربية المتحدة
Onsite
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.
• 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
