Principal Analyst, Commercial

Principal Analyst, Commercial (London)

About Fresha

Fresha is the leading AI-powered operating system for the global beauty and wellness industry, giving businesses everything they need to run smarter, grow faster and build stronger client relationships.

In May 2026, Fresha secured an $80M growth investment from KKR at a valuation of $1B, officially reaching unicorn status and bringing total funding raised to $285M. Already profitable, Fresha is using this investment to accelerate global expansion and drive the next generation of AI and product innovation.

Today, Fresha operates at global scale, with offices across Europe, North America, the Middle East and Asia Pacific. Our platform is trusted by 130,000+ beauty and wellness businesses across 120 countries, with more than 1.5 billion appointments booked to date.

Our mission is simple: help beauty and wellness businesses grow by giving them the technology they need to attract clients, manage their operations and run their business in one place.

We’re continuing to scale rapidly across markets, teams and products, making this an exciting time to join us.

Role Overview

Principal Analyst, Commercial | The Bower, 207-211, Old St, Tower, London EC1V 9NR | Four days in office, Wednesdays remote

Salary: £80,000 - £110,000 + ESOPs

Reporting to: Head of Analytics

Direct reports: N/A (technical leadership only — no people management)

Function: Analytics

Given our exciting growth plans, we are looking for an exceptional Principal Analyst to come and join our global business, owning analytics for Fresha's Commercial function.

Commercial is the biggest and most demanding part of Fresha's business — spanning Direct Sales, who bring new partners onto the platform, Account Management, who grow and retain them, and Customer Experience/Partner Support, who keep them running smoothly day‑to‑day. In this role, you'll be instrumental in building the decision‑making infrastructure that lets Commercial leadership make confident calls on growing value, retention, compensation, pricing, and where to invest their time.

Reporting to the Head of Analytics and working closely with Commercial leadership, Sales, Account Management, and Customer Experience/Partner Support teams, you'll be the pod's day‑to‑day technical partner and its first point of contact — trusted to challenge stakeholders' thinking when the data points somewhere else. You'll also own day‑to‑day task and priority management for the pod, supporting the Head of Analytics on broader roadmap planning.

This is a senior individual contributor role, not a management position. You'll be expected to work with significant autonomy — owning forecasting and unit economics end to end, setting the technical bar other analysts follow, and being trusted to take on the pod's hardest, most ambiguous problems with minimal oversight.

This role is right for you if you thrive in a fast‑paced environment, think like an operator rather than just an analyst, enjoy a challenge, and want to make a significant impact on how a fast‑growing commercial engine actually runs.

How we work

We're rebuilding Analytics around three principles: understand what's really going on, not just report the number that was asked for; partner with the business, rather than simply serve it; and raise what matters before you're asked, rather than waiting for a request. This sits alongside Fresha's wider values — Accountability, Curiosity, Unity, Bravery, and Excellence.

Key accountabilities

Behavioural

• Collaborate broadly across Commercial, Finance, and Analytics to align on priorities and create solutions that work in practice, not just on paper
• Own day‑to‑day task and priority management for the Commercial pod, supporting the Head of Analytics on broader roadmap planning
• Raise what matters before you're asked — flag opportunities and risks proactively rather than waiting to be asked
• Drive a fair, supportive working environment for the analysts in your pod, bringing a positive, can‑do attitude to hard or ambiguous problems
• Prioritise pragmatically, balancing commercial impact against effort and dependencies, and stay close enough to the business to know what's actually urgent

Technical

• Design decision‑support systems that surface opportunities and risks for Account Management and CRM teams, prioritise action, and track outcomes against revenue and retention
• Own analytics for Fresha's Commercial function — Direct Sales performance, Account Management and Retention, and Customer Experience/Partner Support operations
• Build and own unit economics models for the commercial engine — direct sales, acquisition cost, lifetime value, margin, and how compensation structures affect them
• Design and evolve compensation and incentive structures for Direct Sales and Account Management, closely aligned with pricing strategy, moving beyond revenue/GP targets alone toward incentives that are more immediately motivating and easier to track
• Own forecasting for key commercial metrics — retention, churn, revenue growth, customer success
• Build predictive models (e.g. churn risk scoring) where they materially improve how the team prioritises action
• Design and run experiments to test compensation, pricing, or retention interventions, with statistically rigorous read‑outs
• Drive automation of customer support insight generation using modern data and AI tooling, reducing manual reporting overhead
• Write production‑grade SQL and Python, and use AI‑assisted development tools (Claude Code or similar) as a normal part of how you work

Skills, experience & qualifications required

• 6-10 years in a senior analytical role with a strong commercial analytics, finance, FP&A, or retention analytics background, ideally including B2B SaaS or marketplace experience
• Deep experience in forecasting, unit economics, and pricing analysis, with a track record of models that held up under real business decisions
• Comfortable analysing or advising on compensation and incentive structures — not just reporting on sales performance after the fact
• Strong SQL and Python skills used daily for analysis, with hands‑on experience contributing to dbt models and working in GitHub‑based workflows
• Experience working with a modern data stack (we run Snowflake and dbt); our internal BI tool is Python‑based (Plotly), though experience with any modern BI tool is fine
• Track record of being the trusted analytical partner to commercial leadership — shaping strategy, not just measuring it after the fact
• Comfortable challenging stakeholders, including senior ones, when the data doesn't support the proposed direction
• Fluent use of AI agents (e.g. Claude Code or similar) to support analytical workflows

Bonus points

• Experience in a B2B SaaS, subscription, or platform business with a direct sales motion
• Background in finance / FP&A, consulting, investment analysis before moving into analytics
• Experience designing or advising on sales compensation plans
• Experience building predictive models (churn, LTV) that were actually adopted into a team's workflow
• Familiarity with HubSpot or a comparable CRM, and with contact‑centre data (e.g. Twilio)
• Experience working in small teams and startup environments

Inclusive workforce

At Fresha, creating a culture where individuals of all backgrounds feel comfortable matters.

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 upon 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.

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