Senior Data Analyst / Data Engineer
Role details
Job location
Tech stack
Job description
We are now looking for a Senior Data Analyst / Data Engineer to help us stabilise, simplify, and evolve our data capability-someone who can both get their hands dirty today and shape where we go next.
This is not a "plug-and-play" analytics role. It's a chance to build foundations, influence how decisions are made, and work directly with the CEO to surface the real problems-not just report numbers.
What You'll Be Responsible For
- Make data usable, trusted, and visible
- Take ownership of data quality, structure, and accessibility
- Identify and fix the biggest issues: data cleanliness, definitions, consistency, and single points of failure
- Create clear, reliable views of the business that people actually understand and use
- Turn complexity into clarity
- Translate complex, messy datasets into simple, digestible insights
- Build dashboards and analyses that tell a story, highlight trade-offs, and make problems visible
- Help non-technical stakeholders understand what matters, what's broken, and what to do next
- Partner directly with the CEO
- Work closely with the CEO to frame the right questions and reveal underlying operational and commercial issues
- Support decision-making with evidence, not noise
- Be confident challenging assumptions when the data says something uncomfortable
- Be hands-on while shaping the future
- Roll up your sleeves to write SQL, build pipelines, fix broken reporting, and create interim solutions
- In parallel, define a clear vision for the future: tooling, architecture, data ownership, governance, and how analytics should support the business as we scale
- Reduce risk and dependency
- Help move us away from single-person dependency
- Document data logic, definitions, and processes
- Create a more resilient, shared approach to data across teams
Requirements
Do you have experience in SQL?, Experience & Skills
- Strong experience as a Senior Data Analyst, Analytics Engineer, or Data Engineer (3+ years)
- Comfortable working in imperfect, fast-moving environments
- Excellent SQL skills and experience working across multiple data sources
- Experience building data models, reporting layers, and dashboards used by senior leadership
- Confident with modern data stacks (e.g., Snowflake, dbt, Power BI, Airbyte-exact tools matter less than mindset)
Way of Working
- Calm, structured, and resilient-especially when things are messy
- Able to prioritise ruthlessly: not everything needs fixing at once
- Strong communicator who can explain data clearly, say "this is good enough for now," and push back when needed
- Comfortable operating without a detailed playbook
Benefits & conditions
- You see messy data as a problem to be solved, not a reason to disengage
- You enjoy building foundations, not just polishing finished products
- You care about impact, not just outputs
- You're as comfortable in a leadership conversation as you are writing code
What Success Looks Like
- The CEO and leadership team have clear, trusted views of the business
- Data conversations shift from "Can we trust this?" to "What should we do about this?"
- Key risks, bottlenecks, and trade-offs are visible early
- Data is no longer a single point of failure
- There is a credible, realistic roadmap for how data will support the business long-term
Why Join CarSupermarket.com?
A genuinely high-impact role with direct access to the CEO and decision-makers
The chance to shape a data function from the ground up at CarSupermarket.com
Real autonomy-you'll influence tools, standards, and priorities
A business that knows it has problems and is ready to face them, not hide them
Part of Aramis Group's wider Data team with expertise across Europe to learn from and collaborate with
Hybrid working (with regular time in Hull) International environment with cross-country knowledge sharing Management model encouraging initiative-taking and problem-solving
