fresha - Head of Analytics
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Requirements
• 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 • Product analytics and experimentation experience, with amplitude or similar • Some knowledge of MarTech setups • Payments / Fintech exposure • 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.
Responsibilities
• 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
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