Data Analyst

At TLA, we're proud to be consumer champions in the automotive space, constantly exploring smarter ways to connect people with the right cars — and data analysis is at the heart of everything we do. We collect rich data across the entire consumer journey, from initial ad exposure through site browsing behaviour to final dealership actions, and we're committed to letting data drive every decision we make.

You'll join a focused team of 4 data professionals (2 Data Scientists, 1 Data Engineer, and yourself as the Data Analyst), working collaboratively to transform this raw data into actionable insights.

Your work will be critical to answering strategic questions like:

· Why do consumers from manufacturer X buy used vehicles more than those from manufacturer Y?

· How can we increase our proportion of new car sales?

· What makes marketing channel X outperform channel Y, and how can we optimize underperforming channels?

As our Data Analyst, you'll unlock value by building reports that deliver continuous insight, helping stakeholders iterate and improve their strategies, and ensuring our data infrastructure serves the business effectively.

Our data stack:

· Orchestration: Airflow

· Transformation: dbt

· Data Warehouse: Snowflake

· BI Tool: Power BI

As you evolve in the role you will have the opportunity to suggest new tools which might help us increase productivity and results!

What We’re Looking For:

Must Haves:

· 2+ years working with data end-to-end: from data transformation and modelling through to building BI reports and extracting insights that inform strategy.

· Strong SQL and BI Tool Skills: You work independently in SQL, creating queries to power semantic models in any BI tool, and create visuals and reports that can drive value.

· Statistical rigour: You’re appropriately sceptical – of your own models, of patterns in small samples, of causal claims from observational data. You know how to design experiments that isolate real effects from noise and confounding.

· Product-minded: You care about the "why" behind analyses and can push back constructively when something doesn't make sense for the business.

· Must be located within a 1-hour commute the Liverpool city centre (non-negotiable due to regular in-office collaboration requirements)

Nice to haves:

· Degree in a scientific discipline: Any degree where you analysed some kind of data is applicable for example Biology, Physics, Statistics, Computer Science etc.

· Experience in the marketing domain, analysing and optimization campaign performance, for example a marketing analyst role.

· Familiarity with dbt, Snowflake, or modern data stack tools.

What matters to us most:

· You ship. You balance rigour with speed and aren’t precious about perfect analyses. You know when your analysis is good enough to solve the problem at hand. You take full ownership of getting analysis into production.

· You communicate clearly. You can explain complex statistical concepts to non-technical stakeholders and translate business questions into analytical frameworks.

Why TLA?

This isn't a dashboard factory role. We're a close-knit team of 4 data professionals doing high-impact analysis that directly drives revenue—not endless reporting tickets. You'll have the autonomy to identify the right questions, design rigorous experiments, and see your insights translate into real business decisions. If you want to think strategically, work collaboratively, and move the needle rather than just populate dashboards, this is the role.

Company Benefits:

· 22 days holiday (+ bank holidays, increasing by 1 day per year to 25).

· Private health insurance (Vitality, after probation).

· Company pension scheme.

· Office with a view - Stylish Liverpool city centre space overlooking the Liver Building and docks.

· Charity sports events - Regular opportunities to get involved if that's your thing.

· Hybrid working arrangements

PLEASE NOTE: This role is only open to those with the right to work in the UK without the need for sponsorship or visa, now or in the future.