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.
-----
At Discovery Education, we are fulfilling our mission of preparing learners for tomorrow by creating innovative classrooms connected to today's world.
Serving more than 4.5 million educators and 45 million students, available in approximately half of U.S. classrooms and primary schools in the UK, and more than 140 countries around the globe; we are on a journey to transform teaching and learning though innovative partnerships with school districts, states, ministries of education, and other like-minded organizations.
We have built an award-winning and highly reputable organization because of talented and driven people who work together to accelerate student achievement by tapping into students' natural curiosity and desire to learn by capturing their minds and imagination through the fascination of Discovery.
Why Join Discovery Education?
Discovery Education believes empowering each team member is vital to cultivating high performing, highly engaged teams. Being a part of our team means we partner together to achieve mutual goals. To this end, Discovery Education offers inclusive and robust offerings. You can find a complete listing on our Career Page.
Team Member Wellness – When you feel great, you do great work!
- 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
Career Development Ownership - Be the driver of your success!
- 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
This opportunity is perfect for people interested in joining a high-performing, collaborative team, who enjoy a dynamic industry, and are excited about high-impact, project-based work.
Inspired? We would love the opportunity to review your candidacy! Select the blue “Apply Now” button at the bottom left of the screen to begin your application.
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.
