Data Analyst

🏷️ Title: Data Analyst
👫 Department: Analytics
💰 Salary: £60,000 - £70,000
🎁 Benefits & Culture: See here
📈 Equity: A very generous EMI share offering
🌴 Holiday: 26 days + bank holidays
💗 Mission: Elevate later life for everybody and build the care sector of the future
💻 Office Policy: Hybrid with a 2 core office days per week
🌍 Office Location: London Bridge, London, UK

Effective use of data is at the core of the transformation currently underway in the care sector, and we’re looking for someone to play an integral role. We're looking for a commercially-minded Data Analyst to join our analytics team and partner directly with our Commercial, Finance, and Product teams. This role offers exceptional breadth and autonomy: you'll help shape strategy with leadership, drive partner acquisition, support board reporting, and unlock insights from our rapidly-evolving platform. With ambitious growth targets and a lean team, you'll define how Lottie creates value from its unique data asset.

• 
  
• The ‘full-stack’ of data analytics tasks: building data pipelines, dashboards and reports, experimentation, and presenting insights to stakeholders.
  
• Collaborating very closely with colleagues in Commercial, Product & Finance (these are the primary stakeholders of this particular role) to drive strategic decision making.
  
• Writing clean, efficient, well documented SQL at a fast pace.
  
• Experimenting with AI tools and integrations to enhance quality and internal productivity.
  
• Contributing to a culture of curiosity and helping everyone at Lottie to better understand the business.
  

• 
  
• Driving commercial growth through data – harness data in BigQuery to identify acquisition opportunities, build compelling analyses in Hex that demonstrate platform value, and train team members to use Metabase to self-serve repeatedly.
  
• Unlocking product intelligence – working across our modern analytics stack, uncover how care providers interact with our platform, using experiments and analytics techniques to understand cause and effect, and play a key role in communicating Found's value proposition across the business.
  
• Enabling financial excellence and board-level insights – working with Finance to optimize processes, ensure accuracy, and support critical board reporting.
  
• Building data products that ship fast – owning the full lifecycle of data products: from abstract stakeholder requirements to polished workflows, datasets, and dashboards.
  
• Multiplying your impact with AI – utilising AI tools heavily throughout your work, finding innovative ways to accelerate analysis, generate insights faster, and deliver more value.
  

• 
  
• You're technically strong and move fast – have ~4 years of data analytics experience with advanced SQL proficiency, write complex queries, build clean data models at pace, and aren't intimidated by large datasets or technical challenges.
  
• You're commercially-minded, not just technically-minded – have a natural ability to understand business context and identify opportunities that drive action.
  
• You're an exceptional problem-solver – proactive mindset and strong problem-solving skills, thrive on ambiguity, breaking down abstract requirements into actionable solutions with wide freedom.
  
• You're a compelling communicator – proven experience influencing diverse stakeholders from technical teams to non-technical commercial leaders, can translate complex analyses into clear narratives and tailor your message for maximum impact.
  
• You're analytically rigorous – demonstrate numerical and statistical aptitude through work, studies, or outside projects; know when to apply different analytical approaches and explain methodology clearly.
  
• You're excited by AI's potential – actively use AI tools to enhance analytical workflows and productivity, constantly exploring new ways to work faster and deliver more value.
  

• 
  
• 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 haven't embraced AI tools in your work or aren't curious about AI's potential.
  
• You prioritise perfect work over impact.
  
• You're looking for a role where you can specialise in a specific area.
  

• 
  
• Initial screen with Hiring Manager (15 minutes)
  
• First round interview led by Analytics & Strategy Director (30‑45 minutes)
  
• Technical assessment interviews (x2, 45 mins each) with the Analytics & Strategy Director and Analytics Lead
  
• Final interview with Will Donnelly (Lottie’s Co-Founder & CEO)
  

• 
  
• 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.
  
• Case Study: if you are not successful after the case study, 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.
  

Founded in London in July 2021, Lottie is a fast growth HealthTech start‑up aiming to build the world’s first SaaS‑enabled marketplace for care and with a goal of allowing families to seamlessly book care online in a similar manner to reserving a holiday stay via Airbnb or Expedia.

Since launching in July 2021, Lottie has supported millions of care seekers find the right care for loved ones and has raised over £25m from leading venture capital funds including Accel, General Catalyst and Kindred, as well as from well known technology entrepreneurs including Mike Hudack (ex‑CPTO of Deliveroo & Monzo) and Tom Blomfield (ex‑CEO of Monzo Bank). More recently, Lottie was the acclaimed winner of LinkedIn and Startup.co.uk Top Startup awards.

As of today, Lottie offers three core products and services, including:

• 
  
• 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.
  
• Seniorcare by Lottie (B2B Vertical SaaS) – Employee benefit helping companies deliver outstanding eldercare support to their employees.
  

• 
  
• Career Opportunity – A career-defining opportunity to help shape the future of our flagship marketplace and tackle complex challenges across the stack!
  
• 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 peoples lives.
  
• 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 5/5 employee review score on Glassdoor.
  
• Award Winning – Acclaimed winner of LinkedIn’s 2024 “Top Startups” and named “the UK’s number one startup for 2025” in Startup.co.uk 100 Index.
  

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.

If you require reasonable accommodations during the application or interview process, please let us know at .

Compensation Range: £60K - £70K

Mid‑Senior level

Full‑time

Information Technology

Nursing Homes and Residential Care Facilities