At a Glance
- Tasks: Build scalable data models and deliver insights to drive business decisions.
- Company: Join a forward-thinking company that values collaboration and innovation.
- Benefits: Competitive salary, annual bonus, hybrid work, and opportunities for professional growth.
- Other info: Dynamic hybrid work environment based in Bath, UK, with excellent career advancement potential.
- 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. 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: Utilize 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. 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.
Data Analytics Engineer in Bath employer: Francisco Partners
Join a forward-thinking company that values innovation and collaboration, where as a Data Analytics Engineer, you will play a pivotal role in driving data-driven decision-making across various teams. Our hybrid work culture in Bath fosters flexibility and teamwork, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge tools like Snowflake and dbt. With competitive compensation and an annual bonus, we offer a rewarding environment for those looking to make a meaningful impact.
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 Francisco Partners!
✨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 Francisco Partners.
✨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 Francisco Partners.
✨Apply Directly through Our Website
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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 Francisco Partners, 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 Francisco Partners. 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 Francisco Partners
✨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 Francisco Partners!
✨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.
