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.
The Role
This is a senior leadership role at the heart of how Fresha makes decisions. You will lead our analytics function — managing a team of analysts, setting the direction for our BI tooling and analytical practices, and running programmes of work that move the metrics that matter across sales, retention, growth, payments and product.
This is not a back-office support role. You will sit “in the middle” of the business — Commercial, Sales, Product, Finance, and Marketing — convincing teams of the right ideas and then seeing them through to actual change. You will also shape how we use AI tooling to scale our analytics capabilities and reach across the organisation.
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, this role will be based in our dog-friendly office 4 days per week in London: The Bower, 207-122, Old Street, London EC1V 9NR.
What You'll Do
Team Leadership
Manage a team of analysts, their workflows, and their development; coach and mentor them to grow into stronger operators, and backing up their professional development
Set workflows and best practices across the team, with a particular focus on using AI tooling to supercharge our analytics capabilities and reach
Direction & Methods
Set the direction of our BI apps and the methods we use for ad hoc and strategic analysis — notebooks, chatbots, search tools, and the wider analytics stack
Build foundations and standards that scale: clean data access, clear definitions, consistent measurement, and self-serve tooling for the rest of the business
Programmes of Work
Run analytics programmes across our core domains: sales, retention, growth, and payments
Make sure we know how to measure each one, that the data is accessible, that people know where the opportunities and risks are, and that we are focusing on the highest-impact initiatives, not the easiest ones
Identify, prioritise, and follow through on the bets that move the business. Analysis alone isn’t useful, but following through to actual impactful change is
Cross-Functional Influence
Communicate and convince other teams of the right ideas, then see them through to execution and change — analytics here is not a support function but a strategic partner
Operate across Commercial, Sales, Product, Finance, and Marketing — this is an “in the middle” type role where landing an idea matters as much as finding one, and you must be able to flick between different contexts and levels of detail
What We're Looking For
Essential
4+ years in our industry (marketplace, payments, or vertical SaaS) at a high-growth technology company
Demonstrable experience coaching and mentoring an analytics, data or possibly strategy team
Deep understanding of the commercial and financial metrics that drive the SaaS/marketplace model
Financial literacy: comfortable with the basics of how boards work, navigating a P&L, and working alongside Finance
A demonstrable track record of running complex change programmes — landing ideas across teams, not just producing analysis
Foundational understanding of data platform architecture, query practices, pipelines, and tracing data provenance and quality
Comfortable presenting analysis and pushing back on senior stakeholders — executive and director level
Hands-on experience integrating AI tooling into analytics workflows
Strongly Preferred
dbt, Plotly, and Snowflake experience
Good to Have
Product analytics and experimentation experience, with amplitude or similar
Some knowledge of MarTech setups
Payments / Fintech exposure