Time for Phonics

Posted Wednesday 24 June 2026 at 04:00 Expires Tuesday 14 July 2026 at 03:59 We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale. In This Role You Will Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high quality outputs in a fast paced, data driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production ready datasets and maintaining technical documentation Experience working with large scale datasets (e.g., high volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom This role is hybrid based in Bath, UK. As the office is a listed building, we do not have a lift so please make us aware so we can make necessary accommodations. The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus. Benefits 28 days leave plus UK bank holidays Annual Winter Holiday Break (typically the last week of December) Income protection to support you during long term illness 4x salary Life Assurance Medicash cash back plan Private Medical Insurance Vivup cash back and discounted plan for 1000s of high street stores Cycle to work scheme Paid eye test and money towards glasses Numerous Employee Assistance Programs A social committee that helps us team build and celebrate wins Continuing Education AND Tuition Reimbursement Programs for when you choose to study further in your field as you work Mentorship program and collaboration with veteran leaders Constant opportunities for cross functional training and skill building Uncapped career growth Unlimited LinkedIn Learning Leadership training for people mangers Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.