At a Glance
- Tasks: Transform raw data into actionable insights and create impactful dashboards for teams.
- Company: Dynamic startup focused on building a robust data capability.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Other info: Join a culture of curiosity and innovation with room for advanced analytics.
- Why this job: Shape the future of data analytics and make a real impact across the business.
- Qualifications: 2+ years in data analytics, proficient in SQL and BI tools like Metabase.
The predicted salary is between 35000 - 45000 £ per year.
Responsibilities
- Act as a thought partner to teams across the business - helping them define problems, clarify questions, and uncover the metrics that matter.
- Translate stakeholder needs into end-to-end data solutions: from raw data to dbt models to dashboards in Metabase.
- Define and document clear, consistent metrics to support better decision-making across departments.
- Build intuitive, impactful dashboards that make data accessible and actionable for non-technical users.
- Deliver ad-hoc and project-based analysis to evaluate initiatives in growth, product, operations, and beyond.
- Collaborate with the data team to improve the reliability, clarity, and accessibility of our data models and pipelines.
- Operate with a high degree of autonomy - scoping projects, pushing for clarity, and challenging assumptions when needed.
- Contribute to a culture of curiosity and rigour, laying the groundwork for more advanced analytics and data science over time.
Requirements
- You have 2+ years of experience in a data analytics role, ideally in a startup or a company building out its data capability.
- You're proficient in SQL and have worked with BI tools (like Metabase, Looker, or Tableau) to build dashboards that help teams make better decisions.
- You have hands-on experience with dbt or similar tools, and a solid understanding of data modelling best practices.
- You’re comfortable working with messy or incomplete data, and know how to turn it into something clean, structured, and useful.
- You enjoy working with non-technical stakeholders - you ask thoughtful questions, clarify ambiguous requests, and help teams think through what they really need.
- You take ownership of your work, are comfortable scoping projects with limited direction, and aren’t afraid to challenge assumptions.
- You’re curious, pragmatic, and excited by the idea of shaping a modern data function from the ground up.
- Bonus: you have an interest in experimentation or data science, and are keen to grow into more advanced analytics over time.
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We think you need these skills to ace Data Analyst
SQL
Business Intelligence Tools (Metabase, Looker, Tableau)
Data Modelling
Dashboard Creation
Data Cleaning
Stakeholder Engagement
Project Scoping
