Growth Analytics Lead

Growth Analytics Lead

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Model ML

At a Glance

  • Tasks: Drive product adoption and usage across our client base with innovative strategies.
  • Company: Join a dynamic team in a fast-paced, innovative environment.
  • Benefits: Competitive salary, equity, and performance-based incentives.
  • Other info: Be part of a supportive team focused on revolutionary goals.
  • Why this job: Make a real impact by owning growth and shaping the future of our product.
  • Qualifications: Strong data skills, SQL experience, and a proactive mindset are essential.

The predicted salary is between 72000 - 88000 £ per year.

Job Description

The Growth Analytics Lead owns adoption and expansion across our client base.

Retention and daily usage are already at levels we have not seen before, so the constraint is no longer persuasion but distribution: how quickly we get the product into more hands, and what is standing in the way.

The role sits in the Strategy & Operations team, reports directly to the CEO, and owns a number rather than a function.

  • Job Requirements
  • Demonstrable experience moving a growth number in an enterprise or B2B environment.

Consumer growth, performance marketing and funnel optimisation backgrounds do not transfer to this role.

  • Genuinely strong data capability. You write SQL, navigate a warehouse, and work in dbt and a modern BI layer without support.
  • A bias to building rather than proposing. Where something can be built, scripted or automated yourself, you do it.
  • Scepticism about your own analysis, and the judgement to separate causation from correlation under pressure to ship.
  • Strong academic background from tier 1 institutions.
  • Excellent written communication. We value brevity.
  • Ability to work independently and make autonomous decisions.
  • Based in our London office, nine to nine, five days a week. The founders and engineering leadership keep the same hours.
  • Experience in or selling to financial services is a bonus but not required.
  • Job responsibilities
  • Activation: Owning what happens between a seat being provisioned and that person using Model ML four or more days a week, and deleting as much of the onboarding as possible.
  • Account Expansion: Understanding what makes a deployment spread from one team to a whole division, then building the mechanisms that make it happen rather than waiting for it.
  • Surface Adoption: Driving daily usage of the mobile app, plugins and features that users currently never find. Getting the right surface in front of the right user.
  • Usage Growth: Under our pricing models usage is revenue. Owning the understanding of it and the work to move it.
  • Instrumentation: Specifying the telemetry needed to answer growth questions and working with product and engineering to get it built.
  • Building and Shipping: Forming a view, building the thing, measuring whether it worked, then keeping it or killing it. Not briefing an analyst and waiting.
  • Experimentation: Designing tests where they are worth running, and knowing when the right answer is a directional read and a decision instead.
  • Job benefits
  • It won't be easy; in fact, it will be very hard.
  • BUT, it will be a lot of fun.
  • You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift.
  • Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way.

What We Offer

  • Competitive salary + equity
  • Performance-based incentives.
  • A direct reporting line to the CEO and a seat alongside the founders.
  • Ownership of a function that does not currently exist here.
  • Supportive and innovative work environment.

To conclude, we're building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission.

If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world.

About The Interview

We're very conscious of everyone's time, so we want to make the process as efficient as possible.

  • Call 1: 30-minute informal chat with the Talent team. If you proceed:
  • Call 2: 30-45 minute hiring conversation with a member of Strategy & Operations
  • Call 3: 30-minute call with Chaz (CEO)
  • #J-18808-Ljbffr

Growth Analytics Lead employer: Model ML

Model ML is an exceptional employer, offering a unique opportunity to work at the forefront of AI innovation in the heart of London. With direct access to experienced founders and a culture that prioritises high trust and impact, employees can expect to grow rapidly while shaping the future of enterprise AI marketing. The competitive salary, meaningful equity, and performance-based incentives further enhance the appeal of joining a team dedicated to building something iconic.

Model ML

Contact Details:

Model ML Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Growth Analytics Lead

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Model ML!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Growth Analytics Lead

SQL
Data Analysis
Business Intelligence (BI)
Automation
Statistical Analysis
Experiment Design
Communication Skills

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Model ML, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Model ML

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Model ML’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.