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 SnowflakeTransform raw data into clean, reliable datasets for analysisApply 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 operationsPartner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholdersSupport cross-functional teams by delivering high-quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineageAdvocate 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 outcomesDrives Results – Consistently delivers high-quality outputs in a fast-paced, data-driven environmentEnsures Accountability – Takes ownership of data quality, accuracy, and delivery standardsTech Savvy – Adopts and applies modern data technologies to improve efficiency and scalabilityManages 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.