We are seeking a Data Analyst to join our growing Data & Analytics team—the powerhouse behind data-driven decision making across the company. In this role, you'll work closely with product, engineering, commercial, and operations teams to provide insights, build dashboards, and ensure data is accessible and actionable. You'll help design experiments, measure outcomes, and contribute to AI and internal productivity initiatives, making data a true competitive advantage for the organisation.

Key Responsibilities

Analysis & Insights
Conduct deep-dive analyses to identify trends, opportunities, and risks across product, customer, and business data
Support strategic decisions by providing actionable insights to product, engineering, commercial, and operations teams
Partner with stakeholders to define metrics, KPIs, and reporting needs
Reporting & Visualization
Build and maintain dashboards and reports in Power BI (and potential other BI tools)
Create clear and compelling data visualizations that make insights accessible to non-technical stakeholders
Ensure consistent definitions, documentation, and data integrity across reporting
Experimentation & Measurement
Assist in designing and analyzing A/B tests and experiments to evaluate product and business initiatives
Track and measure the impact of AI-powered features and internal productivity tools
Data Accessibility & Enablement
Enable self-service analytics by developing standardized datasets, dashboards, and documentation
Promote data literacy across teams through training and knowledge-sharing
Collaboration & Support
Proven ability to work within a structured request system, prioritize competing requests, clearly communicate timelines, and collaborate with stakeholders to clarify the objective behind each data request
Work closely with engineering to ensure reliable, clean, and well-structured data pipelines
Support the Data Science & Analytics Manager in delivering cross-company data initiatives

Requirements

Experience levels

2-4 years in data/analytics, with exposure to data engineering or ML workflows
Strong proficiency in SQL and Excel
Has worked in a small or scaling company
Has influenced senior stakeholders using data
Evidence of owning projects end-to-end rather than only executing tasks
Desirable, but not required:

Prior experience in SaaS, EdTech, or B2C/B2B2C environments
Experience working with modern data platforms (Snowflake, BigQuery, Databricks)
Experience with Python
Interest in AI and how analytics can support emerging technologies

Skillset (including Transferables)

SQL at an advanced level, comfortable writing transformations and optimising queries
Experience with a modern analytics stack (DBT, cloud warehouse, BI tool)
Ability to translate ambiguous business questions into structured analysis
Strong written communication in a remote-first team
Basic data engineering principles (pipelines, version control, testing)
Commercial awareness — understands metrics like LTV, CAC, churn
Stakeholder management and ability to influence without authority
Experimentation mindset — understands A/B testing, causal thinking, and KPI development
Clear storytelling with data
Transferable skills: problem structuring, prioritisation, systems thinking, ability to learn new tools quickly

Professional memberships

Desirable, but not required:

Published articles, blogs, talks, or teaching
Mentorship involvement (mentor or mentee)

Qualifications & Additional Certifications

Strong quantitative background (STEM degree or equivalent practical experience)
Also desirable, but not required:

Certification in a cloud platform (Azure, AWS, GCP)
Certification in Power BI, Tableau, or similar
Data Build Tool fundamentals or equivalent

Benefits

30 days' holiday per year (inclusive of UK bank holidays)
100% remote & flexible working
Social events and annual meet ups

Data Analyst (Mid Level)