Data Analyst Analytics
Role details
Job location
Tech stack
Job description
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.
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 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.
What problems will you be solving?
- Driving commercial growth through data - As we ship rapidly, you'll 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, you'll 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 - You'll work with Finance to optimize processes, ensure accuracy, and support critical board reporting.
- Building data products that ship fast - You'll own the full lifecycle of data products: from abstract stakeholder requirements to polished workflows, datasets, and dashboards.
- Multiplying your impact with AI - You'll utilise AI tools extremely heavily throughout your work, finding innovative ways to accelerate analysis, generate insights faster, and deliver more value. We're excited about candidates who see AI as a force multiplier for analytical work!, * 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.
Lottie's Interview Process
- Initial screen with Hiring Manager (15 minutes)
- First round interview led by Analytics & Strategy Director (30-45 minutes)
- Technical assessment interviews (x2, 45mins each) with the Analytics & Strategy Director and Analytics Lead
- Final interview with Will Donnelly (Lottie's Co-Founder & CEO)
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.
- 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.
Requirements
- You're technically strong and move fast - You have ~4 years of data analytics experience with advanced SQL proficiency. You can 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 - 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 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 know how to tailor your message for maximum impact.
- 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're excited by AI's potential - You actively use AI tools to enhance your analytical workflows and productivity, constantly exploring new ways to work faster and deliver more value.