Analytics Team Lead

Leading the analytics team

• Manage and grow a team of 2-3 analysts: organise workload, set priorities, and keep a healthy pace using agile ways of working (sprints, backlog, clear intake)
• Coach analysts to grow technically and professionally; hold them accountable for quality and impact, not just output
• Coordinate and align with stakeholders, both global and local, ensuring the team's work lands where it matters most

AI-first team & tooling

• Coach and upskill the team to work AI-first; using AI to query, code, and analyse faster and more consistently
• Set the foundations for this to scale: shared libraries, reusable code, and architecture (e.g. GitHub-based repositories) so AI-first practices are systematised, not dependent on individual habits

Driving analytics for Individual Doctors & Clinics

• Partner directly with the VP of Individual Doctors and the VP of Clinics to understand their businesses, identify gaps, and surface opportunities
• Lead deep dives that go beyond describing what happened to explain why, and what to do about it
• Propose, run, and analyse experiments (A/B tests and beyond) that inform business decisions

Data models & dashboards

• Build and maintain data models and automations that scale across all 13 markets
• Build dashboards in Looker and/or Tableau that non-technical stakeholders can actually use to make decisions
• Keep the team's outputs consistent with BI's dashboard and data standards, escalating gaps rather than working around them

Bridging business and data teams

• Act as the translation layer between business needs (VP of Individual Doctors, VP of Clinics) and Docplanner's data organisation: BI, Data Platform, and Product Analytics
• Bring the right requirements to each team, and push back respectfully when scope or timelines don't match business priority
• Go deeper into a specific market when local teams need dedicated analytical support

AI-generated insights

• Build and maintain the interpretation layer between our data systems and end users, turning metrics and models into AI-generated insights people can act on, not just more data to read
• Surface market performance insights from our metrics and models, and deliver them directly to senior stakeholders in a clear, decision-ready format

Qualifications

What will help you thrive?

• Degree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar)
• +5 years of relevant analytics experience, including +1-2 years leading analysts
• Very good SQL skills (BigQuery preferred); Python is a plus
• Proven experience designing and maintaining automations and scalable data models. Setting up or scaling AI-first ways of working for a data/analytics team (e.g. AI-assisted querying and coding, shared prompt or code libraries, reusable architecture in GitHub or similar)
• Skilled at digesting complex data into business language able to summarise findings and frame them as a clear narrative, not just a report, for senior non-technical audiences
• Hands-on experience with Looker and/or Tableau, building dashboards for non-technical audiences
• Working knowledge of basic statistical modelling and concepts such as regression analysis and A/B testing
• Experience working cross-functionally, partnering with non-technical stakeholders across departments
• Professional fluency in English (Spanish is a plus)

What makes you a fit

• Strategic, structured thinker who breaks down complex, abstract problems (business or technical) into logical components and solves them at the root
• Comfortable navigating ambiguity, driven by results
• Understands the capabilities and limitations of AI/LLMs and has experience building things (professionally or for your own), and can translate technical concepts into business impact for senior leadership
• An owner with an entrepreneurial mindset: you own your work, your results, and everything in between
• Track record of scoping complex problems, running high-quality quantitative analysis, and developing insights that drive decisions
• Able to prioritise effectively and lead multiple project workstreams concurrently
• Builds trust across a wide range of stakeholders; communicates complex concepts simply and clearly

Extra advantage

• Experience in tech companies and/or start-ups and consultancy
• No prior experience in healthcare or SaaS required, but curiosity about both is essential.