At a Glance
- Tasks: Design and develop analytical data models and pipelines to support business insights.
- Company: Leading software company with a focus on data-driven decision-making.
- Benefits: Competitive daily rate, flexible working arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI-driven initiatives and career advancement.
- Why this job: Join a dynamic team and make an impact through innovative data solutions.
- Qualifications: 6+ years in Analytics Engineering with advanced SQL and cloud data warehouse experience.
- Senior Analytics Engineer
- Contract | Inside IR35 | £650 per day - 6 Months
The Opportunity
Our client, a leading software company, is looking for a Senior Analytics Engineer to join its established data team.
You'll play a key role in delivering scalable, high-quality data products that support analytics, reporting, and business decision-making across the organisation.
Working within a modern cloud data environment, you'll build trusted datasets, optimise data models, and enable stakeholders to gain meaningful insights from data.
You'll own defined technical deliverables, translate business requirements into implementation plans, and deliver robust analytical solutions.
Key Responsibilities
- Design, develop, and maintain analytical data models and transformation pipelines.
- Build clean, tested, documented, and scalable datasets for reporting and analytics.
- Develop and optimise complex SQL transformations.
- Gather, clarify, and translate business requirements into technical solutions.
- Develop and maintain Looker models, explores, and dashboards.
- Implement data quality controls, testing frameworks, and monitoring processes.
- Optimise data pipelines, warehouse performance, and reporting layers.
- Collaborate with engineering teams to ensure source data supports downstream requirements.
- Manage delivery blockers and communicate progress to stakeholders.
- Support adoption and enhancement of BI and analytics capabilities.
- Contribute to AI-driven initiatives through data and automation technologies.
Essential Skills & Experience
- 6+ years' experience in Analytics Engineering, Data Engineering, BI Engineering, or similar.
- Advanced SQL skills with strong optimisation and troubleshooting experience.
- Strong understanding of data warehousing and data modelling principles.
- Experience designing and maintaining end-to-end data pipelines.
- Hands-on experience with cloud data warehouses, particularly Snowflake.
- Strong knowledge of ELT/ETL methodologies.
- Experience implementing testing and data quality practices.
- Ability to independently deliver technical solutions from requirements to implementation.
- Strong stakeholder engagement and communication skills.
Desirable Skills & Experience
- Strong experience with Looker, including Look ML and semantic modelling.
- Experience using the Looker API for automation and integrations.
- Knowledge of workflow orchestration and DAG-based dependency management.
- Python development experience, particularly for automation and integrations.
- Experience working within a software or technology environment.
- Exposure to AI technologies and practical business applications.
- Knowledge of version control and collaborative development practices.
- Ideal Candidate
The successful consultant will combine strong analytics engineering expertise with excellent stakeholder management skills.
They will be comfortable engaging with business users to clarify requirements, define solutions, plan delivery, resolve blockers, and communicate progress throughout the project lifecycle.
Candidates should demonstrate
- Excellent SQL proficiency.
- Strong Snowflake knowledge.
- Experience with end-to-end pipeline design.
- Hands-on Looker expertise.
- AI exposure within a professional environment.
- Testing and performance optimisation experience.
- Strong stakeholder engagement and communication skills.
- Ability to own and deliver defined technical outcomes.
Senior Analytics Engineer in Slough employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Slough
✨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 Tenth Revolution Group 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 Tenth Revolution Group.
✨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 Tenth Revolution Group.
We think you need these skills to ace Senior Analytics Engineer in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Tenth Revolution Group, 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 Tenth Revolution Group, 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 Tenth Revolution Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Tenth Revolution Group
✨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 Tenth Revolution Group.
✨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 Tenth Revolution Group.
✨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 Tenth Revolution Group.
