Data Analyst
£50,000 per annum
Fully Remote
My client is a leading EdTech business in the UK that empowers educators to create interactive and customizable teaching materials in minutes, turning static lessons into dynamic, student-centred learning experiences. With millions of active users across the globe, strong organic growth and a beloved product by teachers, the company is entering an exciting new chapter as they drive innovation through emerging technologies such as AI to build an even more powerful product.
My client is seeking a Data Analyst to join their 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 organization.
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.
The successful candidate will have at least 2 years experience as a data analyst, business analyst, or similar role. strong proficiency in SQL and Excel. Be skilled in data visualization and dashboarding, with hands-on experience in Power BI (experience with Looker, Tableau, or similar a plus). Have strong analytical and problem-solving skills, with experience applying statistical methods. High level of comfort translating data into clear business insights for non-technical stakeholders.
Familiarity with experimentation design (A/B testing) and KPI development.
Ideally you'll have prior experience in SaaS, EdTech, or B2C/B2B2C environments, experience with Python and experience working with modern data platforms (Snowflake, BigQuery, Databricks) along with an Interest in AI and how analytics can support emerging technologies.
Please don't hesitate to apply for the role as interviews will be taking place throughout October.