About Marshmallow

We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. All because the industry hasn’t given this huge cohort of people a second’s thought, and isn’t set up to price them properly. 

We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. Since we started, we’ve helped 100,000s of people get a fairer deal on their car insurance. Using technology, we serve people that are often overlooked by financial services companies, solving important problems for people who need it most. 

We know there are millions of marginalised customers out there. And we know that they face unique problems that most companies aren’t even aware of. We believe that our future is helping these people by learning about their experiences, and building our company around their needs. And there are strong signs that there’s a need for a company like us. Earlier this year we hit profitability, which is a huge milestone, but the most exciting thing is that we’re only just getting started.

How we work

We’re really proud of the culture we’ve created. We push for progress every day, because we know that we’ll only hit big milestones by taking lots of smaller steps. We’re always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer’s needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact. 

And autonomy and ownership are only possible with clear direction. That’s why we collaborate to do in-depth planning twice a year, and make sure we leave with clear goals and objectives that flow from top to bottom. To make sure we’re as aligned as possible across functions, most of our work rolls up into four tribes; Acquisition, Retention, Claims and Pricing, Underwriting & Fraud. Each tribe has multiple teams embedded in it, working cross-functionally to do great work.

We’re so excited for all of the challenges up ahead, and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our culture handbook or read our blog to find out more.

As part of our Acquisition Tribe, we focus on optimising customer acquisition funnels, improving conversion rates, and enhancing the overall user journey from the first interaction. We leverage data-driven insights to fuel growth, and we are seeking an Acquisition Analytics Lead to spearhead our analytical efforts in driving scalable customer acquisition.

In this role, you’ll function as both a Manager and Individual Contributor (IC), leading a high-performing team while also diving deep into analysis and experimentation to optimise our acquisition efforts across channels.

Key Responsibilities:

• Data Strategy & Leadership:

  • Lead the analytics strategy for the Acquisition Tribe, ensuring that data insights drive performance improvements in customer acquisition.

  • Develop and manage KPIs to measure the effectiveness of acquisition campaigns, digital channels, and growth initiatives.

  • Collaborate with growth marketing, product, and business development teams to influence strategies that maximise user acquisition and customer growth.

• Individual Contribution (IC) Work:

  • Conduct hands-on analysis of acquisition funnels, user behaviour, and marketing performance, identifying growth levers to improve customer acquisition rates.

  • Build and maintain dashboards, reports, and visualisations that provide actionable insights on campaign performance, cost per acquisition (CPA), lifetime value (LTV), and return on investment (ROI).

  • Design and execute A/B tests to experiment with acquisition strategies, including landing pages, messaging, and pricing models.

• Team Leadership & Development:

  • Lead and mentor a team of data analysts focused on acquisition, supporting their professional development and ensuring high-quality, timely analysis.

  • Balance IC responsibilities with managerial duties, ensuring the team delivers impactful insights while personally contributing to high-priority projects.

  • Foster a culture of collaboration, data-driven decision-making, and experimentation.

• Data-Driven Optimization:

  • Analyse user acquisition channels (paid media, organic search, social, referrals, partnerships) to optimise performance, drive growth, and reduce CPA.

  • Partner with the growth marketing team to optimise spend, improve targeting strategies, and develop new customer segments for acquisition.

  • Work closely with data engineers and data scientists to ensure accurate data collection, tracking, and reporting across the acquisition funnel.

• Cross-Functional Collaboration:

  • Collaborate with the product team to optimise landing pages, onboarding experiences, and user flows that maximise conversion rates.

  • Present insights and recommendations to senior leadership, influencing strategic decisions on customer acquisition and growth strategies.

  • Partner with finance and other business units to assess the impact of acquisition efforts on overall business metrics and profitability.

• Innovation & Continuous Improvement:

  • Stay up-to-date on the latest tools, technologies, and best practices in customer acquisition analytics.

  • Continuously identify opportunities for improving data processes, experimentation, and analysis techniques to stay ahead in a fast-moving industry.

Qualifications:

• Experience:

  • 6+ years in data analytics, with a focus on customer acquisition, growth marketing, or digital performance marketing.

  • Proven experience leading data teams in a fast-growing, data-driven environment, ideally within a scale-up or tech company.

  • Experience analysing multi-channel acquisition strategies, including paid search, social media, SEO, email, and partnerships.

• Technical Skills:

  • Proficiency in SQL for data analysis. 

  • Hands-on experience with data visualisation tools like Looker.

  • Experience with dbt for data transformations.

  • Familiarity with cloud data warehouses (e.g., Snowflake) and marketing analytics platforms.

  • Understanding of statistical models, attribution, and lifetime value (LTV) calculation methods.

  • Python (Nice to Have): While not essential, knowledge of Python or R for advanced analytics is a plus.

• Soft Skills:

  • Strong leadership, communication, and stakeholder management skills.

  • Ability to thrive in a fast-paced, collaborative environment, with strong multitasking and prioritisation abilities.

  • A data-driven problem solver with an entrepreneurial mindset and a passion for customer acquisition.

Everyone belongs at Marshmallow

At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias.

We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.

We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

Recruitment privacy policy

We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.