Finance Analyst Finance Finance Strategy Dubai Dubai Full-time The AI-powered OS for beauty, wellness and self-care 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 technology solutions. 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. Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. 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 in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you. 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 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

What We're Looking For

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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