Finance Analyst

Fresha; Dubai; On-site; AED 223,200 - 334,800; Full time

Job summary

Fresha is looking for a Finance Analyst in Dubai to join their team. This role emphasizes financial and investor reporting, supporting strategic decisions through data analysis and modeling. Candidates should have over 4 years' experience in financial analysis, proficient SQL skills, and a degree in Finance or Economics. Join Fresha in shaping the financial landscape for the beauty and wellness industry, in a diverse and inclusive environment.

Qualifications

• 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: write your own queries, not just interpret others'.

Responsibilities

• Own the data inputs for quarterly board packs, investor reports, and investor-related deliverables.
• Maintain and update the financial model used for budgeting and forecasting.
• Work directly in the data warehouse to extract, validate, and maintain Finance-required datasets.

Skills

Financial analysis

SQL skills

Attention to detail

Unit economics modeling

Data-driven decision-making

Education

Degree in Finance, Economics, or a related field

Tools

Python

Job description

About Fresha

Fresha is an AI‑powered operating system for the beauty, wellness and self‑care industry that connects millions of consumers with businesses worldwide.

The Role

This high‑impact individual contributor role bridges Finance and data. You will own 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.

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—understanding what a board pack requires and why it matters
• Hands‑on SQL skills: write your own queries, not just interpret others'
• 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

Inclusive Workforce

We are creating a culture where individuals of all backgrounds feel comfortable. We will consider all applicants fairly regardless of race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other legally protected characteristic in the location an applicant applies to.

All accessibility requirements will be accommodated during the interview process and once you join.