AI Summary
Join our Data & Analytics team to provide insights, build dashboards, and ensure data is accessible and actionable. As a Senior Data Analyst, you'll work closely with product, engineering, commercial, and operations teams to drive data-driven decision making. You'll have a strong quantitative background and experience in data engineering or ML workflows.
Key Highlights
Analysis and insights
Reporting and visualization
Experimentation and measurement
Key Responsibilities
Conduct deep-dive analyses to identify trends, opportunities, and risks across product, customer, and business data
Build and maintain dashboards and reports in Power BI (and potential other BI tools)
Assist in designing and analyzing A/B tests and experiments to evaluate product and business initiatives
Technical Skills Required
Benefits & Perks
30 days' holiday per year
100% remote & flexible working
Social events and annual meet ups
Nice to Have
Prior experience in SaaS, EdTech, or B2C/B2B2C environments
Experience working with modern data platforms (Snowflake, BigQuery, Databricks)
Interest in AI and how analytics can support emerging technologies
Job Description
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 and 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
- 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
- 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
- Enable self-service analytics by developing standardized datasets, dashboards, and documentation
- Promote data literacy across teams through training and knowledge-sharing
- 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
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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
- 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
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- Desirable, but not required:
- Published articles, blogs, talks, or teaching
- Mentorship involvement (mentor or mentee)
- 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
- 30 days' holiday per year (inclusive of UK bank holidays)
- 100% remote & flexible working
- Social events and annual meet ups
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