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Data Analyst Analytics London Full time Hybrid £60K £70K Offers Equity

lottie.org

City of London

Hybrid

GBP 60,000 - 70,000

Full time

30+ days ago

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Job summary

A pioneering HealthTech start-up is looking for a Data Analyst to join their analytics team in London. This role offers the opportunity to work cross-functionally and drive commercial growth using data. You should have approximately 4 years of data analytics experience, strong SQL skills, and a commercially-minded approach. The position is hybrid with 26 holiday days, and a salary ranging from £60,000 to £70,000 plus additional benefits.

Benefits

Generous EMI share offering
Career progression opportunities
Flexible working environment
Generous stock options package

Qualifications

  • 4 years of data analytics experience with proficiency in SQL.
  • Ability to understand business context and identify opportunities.
  • Strong problem-solving mindset, able to break down requirements.

Responsibilities

  • Build data pipelines, dashboards, and reports.
  • Collaborate with Commercial, Product & Finance teams.
  • Write and document complex SQL queries.

Skills

Advanced SQL proficiency
Data analytics experience (~4 years)
Commercial mindset
Problem-solving skills
Compelling communication
Analytical rigor
AI tools usage
Job description

London, UK – Hybrid (Office: London Bridge)

Full‑time, Analytics Department

Title: Data Analyst

Salary: £60,000 – £70,000 per annum (plus 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 2 core office days per week

The Opportunity

Effective use of data is at the core of the transformation underway in the care sector. We are looking for a commercially‑mindful Data Analyst to join our analytics team and partner directly with Commercial, Finance, and Product teams. The role offers exceptional breadth and autonomy: you 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 will define how Lottie creates value from its unique data asset.

What does this role involve?
  • The full stack of data analytics tasks: building data pipelines, dashboards and reports, experimentation, and presenting insights to stakeholders.
  • Collaborating very closely with Commercial, Product & Finance 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 better understand the business.
What problems will you be solving?
  • Driving commercial growth through data – harnessing BigQuery to identify acquisition opportunities, building analyses in Hex that demonstrate platform value, and training team members to use Metabase for self‑serve insights.
  • Unlocking product intelligence – uncovering how care providers interact with our platform, using experiments and analytics techniques to understand cause and effect, and 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 life cycle of data products: from abstract stakeholder requirements to polished workflows, datasets, and dashboards.
  • Multiplying your impact with AI – utilising AI tools heavily to accelerate analysis, generate insights faster, and deliver more value.
We think you’ll be a great fit if
  • You’re technically strong and move fast – ~4 years of data analytics experience with advanced SQL proficiency; able to write complex queries and build clean data models quickly.
  • You’re commercially‑mindful – able to understand business context, identify opportunities that drive action, probe deeper, challenge assumptions, and deliver insights that move the needle.
  • You’re an exceptional problem‑solver – proactive mindset, strong problem‑solving skills, thrive on ambiguity, break down abstract requirements into actionable solutions.
  • You’re a compelling communicator – proven experience influencing diverse stakeholders from technical teams to non‑technical commercial leaders; translate complex analyses into clear narratives.
  • You’re analytically rigorous – demonstrate numerical and statistical aptitude through work, studies, or outside projects; apply analytical approaches appropriately 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.
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 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 specialize in a specific area.
Interview Process
  • Initial screen with Hiring Manager (15 min)
  • First round interview led by Analytics & Strategy Director (30‑45 min)
  • Technical assessment interviews (x2, 45 min each) with the Analytics & Strategy Director and Analytics Lead
  • Final interview with Will Donnelly (Lottie Co‑Founder & CEO)
Candidate Experience

All candidates will be informed of their application status.

  • Pre‑Screen & First Interview: email notification, no specific feedback at this stage.
  • Hiring Manager Interview: if unsuccessful, constructive feedback via email.
  • Case Study: if unsuccessful, constructive feedback via email and a debrief call with our Talent Lead.
  • Final Interview: for final‑stage candidates not offered the role, live phone‑call feedback.
Meet Lottie

Founded in London in July 2021, Lottie is a fast‑growth HealthTech start‑up. We are building the world’s first SaaS‑enabled marketplace for care, allowing families to book care online like reserving a holiday stay via Airbnb or Expedia. Since launching, we have supported millions of care seekers and raised over £25 m from leading venture capital funds.

Our core products and services:

  • Lottie (B2B2C Marketplace) – free service connecting families with care homes and home care services.
  • Found by Lottie (B2B Vertical SaaS) – AI‑native OS software helping care providers manage enquiries, occupancy, and finances.
  • Seniorcare by Lottie (B2B Vertical SaaS) – employee benefit that lets companies provide eldercare support to their employees.
Why Lottie?
  • Career opportunity: shape our flagship marketplace and tackle complex challenges.
  • Early hire benefits: fast career progression and generous stock‑options package.
  • Mission‑driven tech for good, positively impacting millions of lives.
  • Series A backed with £25 m+ raised from top VC investors.
  • Global opportunity: solving a real, global problem that every family faces at some point in life.
  • Collaborative culture: kind, talented, mission‑driven team that loves coming to work each day.
  • Excellent employee compensation/benefits, hybrid policy, outstanding culture and 5/5 Glassdoor score.
  • Award‑winning startup: LinkedIn 2024 Top Startup and number one UK startup 2025 per Startup.co.uk 100 Index.

We want to create an inclusive environment that celebrates the diversity of our people while 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.

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