Senior Data Analyst

at  Marshmallow

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.

THE ANALYTICS TEAM

Join a dynamic and fast-paced tech company at the forefront of insurtech innovation. We are passionate about transforming the insurance landscape and making a tangible impact on our customers’ lives. Our team is driven by a mission to deliver transparent, efficient, and user-friendly solutions. As we continue to grow, we are looking for a talented Senior Data Analyst to join our team and help us harness the power of data to drive our strategic initiatives.

As a Senior Data Analyst, you will play a crucial role in analysing complex datasets, generating actionable insights, and driving data-informed decision-making across the organisation. You will collaborate with cross-functional teams to identify opportunities for growth, optimise processes, and enhance the overall customer experience. Your expertise in data manipulation, statistical analysis, and visualisation will be key in supporting our strategic goals and ensuring we stay ahead in a competitive market.

• Data Analysis & Insights: Perform in-depth analysis of large datasets to uncover trends, patterns, and insights that drive business decisions.
• Data Visualization: Create clear and compelling data visualisations in Looker to communicate findings to stakeholders.
• Data Modelling: Model data in .dbt to transform raw data into actionable insights and maintain scalable data pipelines.
• Stakeholder Collaboration: Work closely with product, marketing, engineering, and operations teams to understand their data needs and provide actionable insights.
• Performance Tracking: Develop and maintain dashboards to monitor key performance indicators (KPIs) and track the success of various initiatives.
• Statistical Analysis: Apply advanced statistical techniques to test hypotheses, validate models, and ensure data accuracy.
• Data Quality: Ensure data integrity and consistency by conducting regular audits and implementing data quality best practices.
• Mentorship: Provide guidance and mentorship to junior analysts, fostering a culture of continuous learning and improvement.
• Proactivity: Take the initiative to identify new growth opportunities and propose creative solutions to complex problems.
• Dealing with Ambiguity: Navigate and manage ambiguity effectively, making informed decisions with incomplete information and adapting to changing priorities.