You will be joining Reposit as our first data hire at a pivotal stage of growth, and will be responsible for building the foundations of our data function. Working across all teams, you’ll turn raw data into actionable insights that drive smarter decisions and set up the dashboards and reporting processes that make information accessible to everyone.

This role is highly impactful where you will have the chance to shape how data is used across the business, influencing both day-to-day operations and long-term strategy. You will have the chance to:

Join a successful scale-up and the UK’s leading deposit alternative provider.
Establish our data function, reporting directly to the CEO.
Influence both day-to-day operations and board-level strategic decisions.
Help accelerate company growth and profitability by delivering actionable insights to support the achievement of our ambitious plans.
Scale the data function and shape a future team as we grow.
Thrive in a collaborative, fast-paced culture that empowers its team and values those who show initiative.
Be part of a close-knit team making a real difference in the UK rental sector and enjoy the journey while doing it.

About Reposit

Reposit is a fintech company on a mission to improve the rental industry for agents, landlords, and tenants. Our core product is an innovative alternative to costly and outdated tenancy deposits. With Reposit, landlords get more protection, agents reduce admin and earn extra income, and tenants save money upfront - paying just one week’s rent instead of the traditional five-week deposit.

Since launch, we’ve partnered with thousands of estate agents, property managers, and build-to-rent operators nationwide. We also integrate with leading software providers, including tenant referencing and CRM platforms.

We are a remote-first company, but we meet monthly in person to work together and socialise.

What’s it like to work at Reposit?

We are a lean team building a robust and sustainable business. Not just a hype machine. We care about delivering on Reposit’s mission for our customers. Being a scale-up we need to be agile and move fast. We also understand that it is a marathon that requires patience and resilience to achieve success in the long run.

As a remote-first team, we look for people who are self-motivated, productive and collaborative. We empower team members to take ownership, make decisions, and choose the best way to solve problems. When things don’t work, we learn and move on - no blame.

We value open communication and honest conversations. We hold a weekly all-hands and monthly in-person meetups to stay connected and keep our culture strong.

Although we understand that culture evolves and it can be oversimplifying to codify it into a handful of words, here are some things we look for in all Reposit team members:

You care: You apply yourself fully and take pride in the quality of your work, your teammates, and the success of the business.
You embrace challenge: You thrive on being challenged and seek opportunities to push yourself. You are a problem solver and enjoy the satisfaction of overcoming obstacles. As a result, you lean towards situations with a level of uncertainty or higher risk and reward.
You are proactive and self-driven: You take initiative and don’t require constant guidance or instruction. You are able to anticipate needs and take action before being told.
You collaborate: You work effectively with others to achieve the best results for the business in the most efficient way. You can adapt to different work and communication styles to your own.

If this sounds like you, make sure to apply!

What you will do

This is a hands-on role that will suit an ambitious Data Analyst who is ready to take responsibility for architecting and scaling our data function. In this role you will:

Quickly develop an understanding of our business model, product, partner network & competition to understand what data, KPIs & insights really matter.
Build, automate and maintain dashboards and reporting tools (e.g. Looker, PowerBI, or similar) that surface the right insights to stakeholders across Sales, Product, Operations and Insurance.
Carry out ad-hoc analysis to answer valuable commercial questions.
Partner with stakeholders to ensure teams can self-serve and make data-driven decisions.
Work with Engineering to ensure the data warehouse and pipelines are fit for purpose and aligned with business needs.
Track and analyse performance data, producing recommendations for action and experimentation.
Be responsible for setting up reporting routines and ensuring data integrity across systems.

Milestones

By 3 months you will have:

Introduced and orientated yourself within the team;
Developed a deep understanding of Reposit, both in terms of our product and the market context (deposit alternatives, PRS stakeholders, and our partner network);
Reviewed our existing data sources and reports, and identified initial improvements;
Taken ownership of the majority of regular reporting;
Set out a clear plan & taken pragmatic actions to improve our data technology stack, setting up the features you need to deliver value quickly;
Delivered your first dashboards and ad-hoc analysis, to provide actionable insights.
Target after 3 months: Developed a clear understanding of Reposit’s business and taken over all regular reporting.

By 6 months you will have:

Defined and embedded a company-wide reporting framework, ensuring alignment on KPIs.
Established regular reporting routines and data quality checks.
Delivered a suite of dashboards for Sales, Product, and Insurance teams that are actively used.
Completed several deep-dive analyses on claims and partner performance, influencing commercial decisions.
Target after 6 months: Reposit has a reliable reporting infrastructure and teams are using your insights in their day-to-day decisions.

By 12 months you will have:

Fully integrated as a valued member of the Reposit team and the go-to person for data-driven insights.
A deep understanding of our product economics, partner performance and claims patterns, and used this to improve pricing and commercial strategy.
Delivered a data strategy for Reposit, including recommendations for scaling tools and processes.
Set up advanced dashboards and reporting routines across the business.
Target after 12 months: A well-established data function with clear evidence to show that the insights you have generated have had a material impact on business performance.

Important Characteristics

Proactive and able to take initiative – you must be comfortable being the first data hire and know how to bring structure and rigour where it doesn’t yet exist.
Exceptional analytical skills – highly numerate with quick and accurate analytical skills, combined with a proven ability to solve problems.
Commercial awareness – able to connect the dots between data, customer behaviour and business outcomes.
Highly effective communicator – you can explain complex data findings in clear, simple terms to non-technical colleagues.
Team player – you enjoy working within a close-knit team while still being able to operate autonomously.
Resilient & adaptable – this is a challenging role; we need someone who is motivated by building from scratch and scaling their impact over time.

Experience & Competencies

Essential

Degree in a quantitative subject (e.g. Maths, Physical Sciences, Economics, Statistics, Data Science, Engineering).
At least 5 years of relevant experience in data analysis, BI or analytics roles.
Proven ability to apply advanced statistical methods to business data, including hypothesis testing, regression, and time series analysis.
Proven experience building and maintaining dashboards (e.g. Looker, PowerBI, BigQuery, Tableau).
Strong SQL skills and ability to manipulate complex datasets.
Experience delivering actionable insights in a commercial/business environment.
Excellent Excel and data visualisation skills.
Excellent communication skills, both written and verbal.
Enthusiastic about leveraging AI technologies to speed up analysis, automate workflows, and maximise business impact.

Preferable

Experience in fintech, insurance or proptech sectors.
Familiarity with Python or R for data analysis.
Familiarity with modern AI-assisted data analysis tools. With this, you must also show an understanding for the weaknesses of these tools and be able to critically assess AI-generated outputs to ensure accuracy, reliability and business relevance.
Experience working in high-growth or startup environments.

Compensation and benefits

Base Salary: £60k-£70k (negotiable depending on experience)
Eligibility for company stock option scheme after 12 months in the company.
Remote first role with monthly and quarterly meet-ups
Company equipment including a Macbook Pro, second screen etc, plus a £500 remote work budget to make sure you are set-up with everything you need!
Hubble Pass - to provide access to office space near you, as required.
25 days holiday + bank holidays for the first 2 years, adding 1 additional day per year until 28 days.
Your birthday off!
Employer’s pension scheme

Apply now

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