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Salary: GBP 60,000 - 80,000 / annual
Lottie is building an AI operating system for social care, combining a B2B2C marketplace (helping families find care), a vertical SaaS platform for care providers (Found), and an AI agent (Eliza) that handles family calls and chats. The company has raised £25m+ from tier-1 VCs (Accel, General Catalyst) and is recognized as one of Europe's fastest-growing tech companies.
You will join as a commercially-minded Senior Data Analyst partnering with Commercial, Finance, and Product teams. Your mission is to help Lottie create value from its data and shape business strategy through analytics.
Key responsibilities:
- Ship the full analytics stack: pipelines, dashboards, experiments, and stakeholder narratives, using AI to accelerate every step.
- Embed AI into team workflows: prompt engineering, AI-assisted analysis in Hex, faster iteration in Metabase, and automation that multiplies impact.
- Coach colleagues on self-serve analytics, moving beyond dashboards to confident use of AI and Metabase.
- Back strategy with data by working with leadership on major commercial questions, building deep understanding of marketplace dynamics, and turning insights into decisions.
- Drive commercial growth through data by using BigQuery and Hex to spot acquisition opportunities and demonstrate platform value.
- Unlock product intelligence by analyzing how care providers use Found, running experiments to understand cause-and-effect, and communicating value across the business.
- Enable financial excellence and board-level reporting by working with Finance to optimize processes, ensure accuracy, and support board narratives.
- Transform ad-hoc requests into self-serve dashboards, scoping requests thoughtfully and pushing back when appropriate.
The role is hybrid with 2 core office days per week at London Bridge. You'll work in a lean, fast-paced team with big ambitions and significant freedom to shape how Lottie uses data.
Requirements:
- 4+ years in data analytics with strong technical skills and speed of execution.
- Proficiency in SQL; ability to review, question, and fix AI-generated queries.
- Commercial mindset: natural ability to understand business context, identify opportunities, probe deeper, challenge assumptions, and deliver insights that move the needle on commercial outcomes.
- Practical AI fluency: already using tools like Cursor, ChatGPT, Claude, or Hex AI in day-to-day analytics with demonstrated before/after impact on speed or quality.
- Exceptional problem-solving: proactive mindset, strong analytical skills, comfort with ambiguity, ability to break down abstract requirements into actionable solutions.
- Compelling communication: proven ability to influence diverse stakeholders from technical teams to non-technical commercial leaders; can translate complex analyses into clear narratives and confidently scope/decline requests.
- Analytical rigor: demonstrated numerical and statistical aptitude through work, studies, or projects; ability to select and explain appropriate analytical approaches.
- Business acumen: ability to quickly grasp how a business works. Marketplace or GTM experience is a plus, but B2B, B2C, or consultancy backgrounds work if you learn fast.
- Familiarity with BigQuery, Dataform, Metabase, and Hex is helpful but not essential if you've used comparable tools.
- Mission alignment: the role requires genuine resonance with elevating later-life care.
- Collaborative mindset: preference for working as part of a fast-paced team, comfort with ambiguity, and prioritization of impact over perfection.
