Lottie is building the AI operating system for social care. Families find care through our marketplace, and providers run their business on Found, with Eliza, our AI agent, handling their family calls and chats. That's a lot of data, and using it well is how we transform care.

We're hiring a commercially-minded Senior Data Analyst to partner with Commercial, Finance and Product. You'll learn how our marketplace works and use analytics to shape our strategy, from partner acquisition to board reporting.

We're a lean team with big ambitions. You'll help define how Lottie creates value from its data, with AI as a default way of working. If you want your analysis to shape how a business grows and how care works, this is the role for you!

💻 What does this role involve?

• Ship the full stack of analytics: pipelines, dashboards, experiments and stakeholder narratives - using AI to move faster at every step.
• Build AI into how the team works: prompt workflows, AI-assisted analysis in Hex, faster iteration in Metabase, and automation where it multiplies impact.
• Coach colleagues so self-serve isn't just dashboards - it's people using AI and Metabase confidently.

💪 What problems will you be solving?

• Backing strategy with data - You'll work with leadership on the big commercial questions, building a deep understanding of how the marketplace works and turning it into analysis that drives the decision.
• Driving commercial growth through data - You'll use BigQuery and Hex to spot acquisition opportunities and build analyses that show the value of our platform.
• Unlocking product intelligence - You'll uncover how care providers use our platform, using experiments to understand cause and effect, and help communicate Found's value across the business.
• Enabling financial excellence and board-level insights - You'll work with Finance to optimise processes, ensure accuracy and support board reporting.
• Turning ad hoc into self-serve - You'll scope requests before committing time, push back when something isn't the best use of it, and build self-serve dashboards so the same question doesn't come back twice.

👀 We think you’ll be a great fit if…

• You're technically strong and move fast - You have 4+ years in data analytics. You use tools like Claude to draft queries and build dashboards, and you know SQL well enough to review, question and fix what comes back.
• You're commercially-minded, not just technically-minded - You have a natural ability to understand business context and identify opportunities that drive action. You don't just answer questions - you probe deeper, challenge assumptions, and deliver insights that genuinely move the needle on commercial outcomes.
• You’re AI-fluent in practice - You already use tools like Cursor, ChatGPT, Claude or Hex AI in your day-to-day analytics, and you can show a before/after of how that’s changed your speed or quality. Curiosity alone isn’t enough; you ship with it.
• You're an exceptional problem-solver - You have a proactive mindset and strong problem-solving skills (this matters more to us than specific industry experience). You thrive on ambiguity, breaking down abstract requirements into actionable solutions with wide freedom in your approach.
• You're a compelling communicator - You have proven experience influencing diverse stakeholders from technical teams to non-technical commercial leaders. You can translate complex analyses into clear narratives, and you’re confident scoping requests and saying no to senior stakeholders when it’s the right call.
• You're analytically rigorous - You can demonstrate numerical and statistical aptitude through work, studies, or outside-work projects. You know when to apply different analytical approaches and can explain your methodology clearly.
• You pick up how a business works, fast - Marketplace or GTM experience is a plus, but B2B, B2C or consultancy backgrounds all work if you get to grips with the business quickly.
• Our stack is BigQuery, Dataform, Metabase and Hex - Experience with these helps, but it isn’t essential if you’ve used comparable tools.

💔 This role isn’t for you if…

• Our mission to elevate later life care doesn’t resonate with you.
• You prefer working in isolation rather than as part of a collaborative, fast-paced team.
• You're uncomfortable with ambiguity or prefer detailed specifications over problem-solving from first principles.
• You treat AI as a gimmick, haven’t built it into your workflow, or won’t keep learning as the tools move.
• You prioritise perfect work over impact.
• You're looking for a role where you can specialise in a specific area.

🔢 Lottie’s Interview Process

• First interview with our Talent Lead - 20 mins, remote
• Hiring manager interview with our CPTO - 30-45 mins, remote
• Technical interviews - 2 x 45 mins, remote
• Behavioural interview - 45 mins, remote
• Final interview with Will Donnelly, Co-Founder & CEO - in person

🤩 Candidate Experience: All candidates will be informed of their application status.

• Pre-Screen & First Interview: You'll receive an email notification, but no specific feedback will be provided at this stage.
• Hiring Manager Interview: If you are unsuccessful after this interview, you will receive constructive feedback via email.
• Technical and Behavioural: If you are not successful after these rounds, you'll receive constructive feedback via email and be offered a debrief call with our Talent Lead.
• Final Interview: For final-stage candidates who are not offered the role, we will provide your feedback live via a phone call.

🚀 Meet Lottie

Founded with a mission to build the care sector of the future, Lottie is creating the AI operating system for social care - designed to unlock profitability for care providers and to make finding care as easy as booking a holiday on Airbnb.

Launched in London in July 2021, Lottie has raised over £25m from tier 1 venture capital funds (Accel and General Catalyst) and is widely recognised as one of Europe's fastest growing tech companies. Most recently, Lottie was the acclaimed winner of Deloitte Fast 50 , LinkedIn Top Startups , The Sunday Times Tech 2026 and Startups 100 .

• Lottie (B2B2C Marketplace) - Free service that helps families find the UK’s best care homes and home care services.
• Found by Lottie (B2B Vertical SaaS) - AI-native OS software supporting care providers to effectively manage their enquiries, occupancy and finances. Eliza by Found is our newest Found module. AI agents that handle care home enquiries - so no family goes unanswered. Launch video here .
• Seniorcare by Lottie (B2B Vertical SaaS) - Employee benefit helping companies deliver outstanding eldercare support to their employees.

🤩 Why Lottie?

• Career Opportunity - Grow into a strategic data leader at a fast-scaling Series A healthtech, working side by side with leadership on the decisions that matter.
• Early Hire Benefits - Be an early hire at one of the UK’s fastest growing startups and benefit from fast career progression, as well as a generous stock options package.
• Mission - Tech for good that aims to build the care industry of the future and to positively impact millions of people’s lives. Care is one of the final remaining large consumer industries that is yet to be disrupted and positively revolutionised by technology.
• Investors - Series A backed startup having raised £25m+ from tier 1 venture capital investors including Accel and General Catalyst.
• Global Opportunity & Scalability - Be part of a company that is solving a real tangible problem that every family around the world faces at some point in their life.
• People - Join a kind, talented and mission driven team that loves coming to work every day.
• Culture - Excellent employee compensation/benefits, hybrid office policy and outstanding company culture with a 4.9/5 employee review score on Glassdoor.

We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.