Data Analyst

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.

The Analytics Team 

We’re looking for a Data Analyst with a passion for improving our customer experience. This role will provide analytical firepower to our work in all product areas of the business, as a product led tech company this is a chance for an analyst to make an impact across all the major projects of the business.

You’ll be working closely with the team leads in Customer Operations (COps), as well as the Head of Compliance and other relevant people in the Compliance team. 

It’s an opportunity to apply an analytics lense to an area that is largely untouched by our team so you’ll be taking full ownership of the area.

The COps team is the largest in the business, therefore optimising their performance and efficiency will bring great gains to the customer experience and the overall business outcomes.

You’ll also become a part of a team of skilled data analysts and have the opportunity to work alongside data science and data engineering to elevate the power of data at Marshmallow.

What you’ll be doing

• Building and iterating performance dashboards, taking responsibility for their accuracy and effectiveness in communicating team performance

• Developing a rich understanding of key operational processes, rules and frameworks, including the way we work to deliver the best outcomes for our customers

• Analysing performance and proactively recommending and driving improvements to existing processes

• Modelling growth and playing a part in discussions about scaling initiatives

• Undertaking ad hoc analysis in partnership with leaders across the operational teams, ensuring a data-driven approach to decision making

• Utilising dbt to build reusable, documented and tested data models.

• Create Looker views, models and high-quality dashboards. Dashboards should enable self-service by implementing filters, dynamic values etc.

• Work alongside Product Managers and Engineers, helping translate metrics into data-related requirements, enabling the team to be self-sufficient, from ideation to reporting.

• Promote company-wide best