At a Glance
- Tasks: Own analytics projects and develop data models to drive impactful outcomes.
- Company: Purpose-led organisation focused on data-driven solutions and collaboration.
- Benefits: Competitive salary, generous holiday allowance, and remote work flexibility.
- Other info: Join a team that values quality and innovation over rigid processes.
- Why this job: Shape the future of data analytics in a dynamic, evolving environment.
- Qualifications: Experience with dbt, advanced SQL skills, and a collaborative mindset.
The predicted salary is between 70000 - 90000 £ per year.
This is an opportunity to step into a high-impact Analytics Engineer role within a purpose-led organisation working at the intersection of data, technology, and real-world outcomes. You will take ownership of critical data models and analytics workflows, ensuring continuity and delivery across key projects while contributing to the evolution of a modern data platform.
The Company
They are a data-driven organisation focused on delivering meaningful impact through advanced analytics and technology. Operating in a highly regulated environment, they combine strong technical foundations with a collaborative, values-led culture. Their data platform is mature in parts and evolving in others, creating opportunities to shape best practices and standards. The team works remotely with a flexible approach, prioritising outcomes and quality over process-heavy environments.
The Role
You will take ownership of the analytics modelling layer, working closely with data engineers and analysts to ensure high-quality, production-ready datasets and reporting outputs. Key responsibilities include:
- Owning and delivering in-flight analytics and data modelling projects
- Designing, building, and maintaining dbt models across fact and dimension layers
- Developing scalable data models with clear grain and schema design principles
- Collaborating with data engineering to support end-to-end data workflows
- Reviewing and improving SQL and dbt work from analysts, ensuring best practice adoption
- Supporting the transition from prototype analysis to production-grade data assets
- Maintaining high standards of documentation, testing, and metadata
Your Skills and Experience
- Strong commercial experience working with dbt in a modern data environment
- Advanced SQL skills with the ability to optimise and review complex queries
- Experience working with Python in data workflows
- Strong understanding of data modelling, including star schema design and data warehousing concepts
- Confidence in reviewing and improving others’ work, with a collaborative approach to problem-solving
- Ability to communicate technical decisions clearly and work effectively with both technical and non-technical stakeholders
What They Offer
Generous holiday allowance plus
Analytics Engineer - 12 month FTC (199288) in Bristol employer: Harnham
Join a purpose-led organisation that values collaboration and innovation, offering a flexible remote work environment that prioritises meaningful outcomes. As an Analytics Engineer, you will have the opportunity to shape best practices within a mature data platform while enjoying generous holiday allowances and a commitment to employee growth and development. This role not only allows you to make a significant impact through advanced analytics but also fosters a culture where your contributions are recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - 12 month FTC (199288) in Bristol
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harnham before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harnham.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harnham.
We think you need these skills to ace Analytics Engineer - 12 month FTC (199288) in Bristol
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harnham.
