Data Analytics Lead

About Marshmallow

We exist to make migration easy.

A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way.

A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change.

If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more.

Move our mission, and your career, forward.

Data holds the secret code that unlocks the path ahead in our mission. That’s why data teams at Marshmallow are crucial in helping us to create technological solutions that make migration easy for hundreds of millions of global relocators every year.

Insightful. Strategic. Rigorous. A true team-player. Always ready to improve. We look for talent who’ll use their technical brilliance to build credibility across the business and make real commercial and world impact with every choice.

That’s why we provide a supportive environment full of trust and autonomy. So you can take ownership of high-leverage work, in a top functioning team that’s always moving forward.

We are looking for a Data Analytics Lead to take charge of our data-driven efforts. In this role, you will operate as both a Manager and an Individual Contributor (IC), guiding a talented team while also directly driving analyses that inform key decisions around customer retention, product engagement, and lifecycle strategies.

Key Responsibilities:

• Data Strategy & Leadership:

  • Define and lead the analytics vision for the team, aligning with company goals to maximise customer retention and lifetime value.

  • Develop and manage KPIs and performance metrics to measure the effectiveness of retention strategies, identifying opportunities for improvement.

  • Act as the go-to expert for customer retention data, providing actionable insights to product, marketing, and customer success teams.

• Individual Contribution (IC) Work:

  • Conduct hands-on analysis of customer behaviour, segmentation, and lifecycle data, uncovering key trends that drive engagement and retention.

  • Create dashboards, reports, and visualisations that provide stakeholders with a clear view of performance, enabling faster and smarter decision-making.

  • Run experiments and A/B tests, using statistical methods to assess their impact on our customers.

• Team Leadership & Development:

  • Lead and mentor a team of data analysts, ensuring their professional development and the delivery of high-quality analysis.

  • Balance the role of an IC with managerial responsibilities, efficiently managing time between conducting your own analyses and supporting the team.

  • Foster a culture of data curiosity, experimentation, and continuous learning within the team and across the organisation.

• Data-Driven Decision Making:

  • Build and maintain dashboards, reports, and visualisations to track customer engagement, churn, and retention trends.

  • Analyse customer behaviour, segmentation, and cohort data to understand key drivers of retention and develop targeted intervention strategies.

  • Collaborate with engineering and data science teams to optimise data pipelines and ensure accuracy in tracking and measurement.

• Collaboration & Cross-Functional Partnership:

  • Work closely with the product, marketing, and customer success teams to create experiments, A/B tests, and initiatives aimed at increasing customer engagement and loyalty.

  • Present data findings and recommendations to senior leadership, influencing strategic decisions for retention-focused initiatives.

• Innovation & Continuous Improvement:

  • Stay ahead of industry trends, emerging tools, and technologies in analytics, and apply best practices to continuously improve the team’s analytical capabilities.

  • Proactively identify data gaps and work with data engineers to ensure the right data is captured for analysis.

Qualifications:

• Experience:

  • 6+ years in data analytics, with a focus on customer retention, lifecycle management, or customer success.

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

  • Experience with customer segmentation, behavioural analytics, and A/B testing frameworks.

  • Demonstrated ability to balance managerial responsibilities with hands-on data analysis as an individual contributor.

• Technical Skills:

  • Proficiency in SQL for data analysis.

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

  • Experience with dbt for data transformations.

  • Experience working with cloud data warehouses, particularly Snowflake.

  • Familiarity with statistical methods and machine learning models applied to customer behaviour analysis is a plus.

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

• Soft Skills:

  • Strong leadership, communication, and interpersonal skills.

  • Ability to work in a fast-paced, collaborative environment and manage multiple priorities.

  • Excellent problem-solving skills with a customer-centric mindset.

Why Join Mashmallow?
At Mashmallow, you’ll be part of a dynamic and passionate team focused on making a real impact. You’ll have the opportunity to shape the future of customer retention and help build a lasting connection with our users. We offer competitive compensation, flexible working arrangements, and a culture that fosters growth, innovation, and work-life balance.

Background checks

To meet our regulatory obligations as an FCA-authorised financial services company, we need to do some background checks on all new hires. That means carrying out a DBS check and making sure you don't have any live criminal proceedings. Feel free to ask our Talent Acquisition team if you have any questions about this!

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.