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For Companies At a Glance
- Tasks: Lead and scale the Analytics function to drive data-driven decisions.
- Company: InvestEngine, a modern investment platform with a strong growth trajectory.
- Benefits: Impactful role, remote work flexibility, and a supportive team culture.
- Why this job: Shape the future of data analytics in a fast-growing fintech environment.
- Qualifications: Proven leadership in data analytics and expertise in applied statistics.
- Other info: Join a lean team that values clarity, ownership, and collaboration.
The predicted salary is between 72000 - 108000 ÂŁ per year.
About InvestEngine
InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2.5 billion invested, award‑winning service, and a passionate team, now we’re ready to scale.
About The Role
The Head of Data & Analytics is the architect of InvestEngine’s data‑driven future. You will be accountable for leading and scaling the Analytics function, ensuring the business is consistently supported by "decision‑grade" data, metrics, and insight. This is not a reporting function; it is a strategic leadership role responsible for turning data into measurable business impact. You will act as the bridge between technical foundations and commercial reality, providing the CEO, CFO, and Executive Committee with the insights needed to scale from £2bn to £10bn+.
We are looking for a "Scale‑up Architect": someone who is a technical genius in applied statistics and modern data stacks, but also a bold strategic partner capable of challenging the status quo with objective truth.
What You’ll Do
- Strategy & Operating Model: Define and own the analytics strategy, covering data foundations, metrics governance, and insight delivery aligned to our 4x growth priorities.
- The Single Source of Truth: Own the evolution of the Data Warehouse. Oversee data models, transformations (dbt), and documentation to ensure data lineage is transparent and auditable.
- MI & Metrics Governance: Own the MI Catalogue, defining calculation logic and escalation thresholds. Establish robust governance to ensure every metric exists to inform a specific business decision.
- Commercial Optimisation: Drive "decision‑grade" MI for the CFO and CEO, with a relentless focus on unit economics, LTV modelling, and Return on Advertising Spend (ROAS).
- Analytics Enablement & AI: Lead the strategy for AI‑assisted analytics and tooling. Enable safe, scalable self‑serve analytics, moving the company from "gut‑feel" to data‑led.
- Team Leadership: Lead and develop our domain‑aligned analysts (Marketing, Product, Customer, Commercial). You will have the authority to audit and iterate on our team dynamics and tech stack to ensure they are fit for purpose.
- Executive Challenge: Act as a strategic counterweight to the executive team, presenting data that validates or invalidates high‑priority roadmaps or strategic initiatives.
What We’re Looking For
- Scale‑up Leadership: Proven experience leading data and analytics through transformational scaling phases, ideally in a regulated Fintech or investment platform.
- Statistical & Technical Rigour: A "technical genius" mindset with deep expertise in applied statistics and modern data stack architecture (dbt, SQL, and ideally Python).
- Commercial Acumen: Strong ability to translate complex data into business decisions, specifically regarding marketing growth data and financial unit economics.
- Governance Mindset: Experience working closely with Compliance and Risk to ensure analytics support regulatory objectives and FCA‑ready MI.
- Constructive Challenger: A confident communicator able to influence senior stakeholders and challenge the product roadmap constructively.
- Gold Medal Background: Experience installing a complete analytical infrastructure in a well‑known, high‑growth environment.
How We Work
We’re a lean, fast‑moving team that values clarity, ownership, and transparency. You won’t just be executing tickets; you’ll shape systems, improve processes, and influence product direction. We expect autonomy, but we also support each other. No bureaucracy, no drama: just respectful collaboration and meaningful work.
What We Offer
- Impact from day one: You have the authority to rebuild the data function and tech stack from the ground up.
- Room to grow: We’re scaling fast, and this role is central to our ability to reach our next milestones.
- Transparent and open culture: From regular team updates to open Slack channels, we keep communication honest and decisions collaborative.
- Supportive team: You’ll join a team of thoughtful, motivated people who care about what they build and how they build it.
- Remote and flexible: Work from wherever suits you best. We care about outcomes, not time zones.
Our Hiring Process
- Introductory call with our Talent team.
- Gamified cognitive assessment to understand how you think and problem‑solve.
- Hiring Manager Screen with the COO: Initial interview focused on analytics strategy and product vision.
- Technical Deep Dive with a member of the team: Validation of "hard" skills in SQL, dbt, and data modelling.
- CFO Case Study: A presentation‑based interview focusing on applied statistics, LTV, and ROAS.
- Values & Leadership with the CEO: Final session to explore cultural alignment and your ability to lead a matrixed team under executive scrutiny.
Head of Data & Analytics employer: InvestEngine
Contact Detail:
InvestEngine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data strategy and think about how your skills can help them scale. Show them you’re not just another candidate; you’re the one they need!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around analytics and decision-making. Make it clear that you can turn data into actionable insights that drive growth.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Head of Data & Analytics
Some tips for your application 🫡
Show Your Strategic Side: When writing your application, make sure to highlight your experience in leading data and analytics through scaling phases. We want to see how you've turned data into business impact, so share specific examples that demonstrate your strategic thinking.
Be a Technical Whiz: Don’t shy away from showcasing your technical skills! Mention your expertise in applied statistics and modern data stacks like dbt and SQL. We’re looking for someone who can bridge the gap between technical foundations and commercial reality, so let us know how you’ve done this in the past.
Communicate Clearly: Your ability to influence senior stakeholders is key. Use your application to demonstrate how you’ve effectively communicated complex data insights to non-technical audiences. We appreciate clarity and confidence, so make sure your writing reflects that!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates about the process. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at InvestEngine
✨Know Your Data Inside Out
As the Head of Data & Analytics, you’ll need to demonstrate a deep understanding of data architecture and analytics strategy. Brush up on your knowledge of SQL, dbt, and applied statistics. Be ready to discuss how you've previously turned complex data into actionable insights that drove business growth.
✨Showcase Your Leadership Skills
This role requires strong leadership capabilities. Prepare examples of how you've led teams through transformational changes in data and analytics. Highlight your experience in building analytical infrastructures and how you’ve influenced senior stakeholders with data-driven decisions.
✨Prepare for Technical Deep Dives
Expect a technical assessment during the interview process. Practice articulating your thought process when solving data-related problems. Be ready to explain your approach to metrics governance and how you ensure data integrity and transparency in your previous roles.
✨Align with Company Values
InvestEngine values clarity, ownership, and collaboration. Familiarise yourself with their culture and be prepared to discuss how your personal values align with theirs. Think about how you can contribute to a supportive team environment while driving impactful change in the analytics function.