At a Glance
- Tasks: Build scalable data models and deliver insights to drive business decisions.
- Company: Join a forward-thinking company committed to inclusivity and innovation.
- Benefits: Competitive salary, hybrid work model, and annual bonus opportunities.
- Other info: Dynamic, collaborative environment with opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights across various teams.
- Qualifications: 3+ years in data roles, strong SQL skills, and experience with modern data tools.
The predicted salary is between 35000 - 39400 £ per year.
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.
Responsibilities
- 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
Other Details
- The role is hybrid based in Bath, UK. As the office is a listed building, please let us know if accommodations are needed due to the lack of a lift.
- Salary range: £35,000 - £39,400 annually. The position is eligible for an annual bonus.
- 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.
Data Analytics Engineer in Bath employer: Discovery Education
At Discovery Education, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. Our hybrid role in Bath offers competitive salaries, annual bonuses, and opportunities for professional growth, all while working with cutting-edge data technologies. Join us to make a meaningful impact through data-driven insights in a supportive environment that values diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer in Bath
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Discovery Education!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics Engineer at Discovery Education.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Discovery Education.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics Engineer at Discovery Education, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analytics Engineer in Bath
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Discovery Education, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Discovery Education. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Discovery Education
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Discovery Education!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
