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- Tasks: Build and maintain analytical data models while collaborating with cross-functional teams.
- Company: Join a vibrant tech company that values inclusivity and innovation.
- Benefits: Enjoy flexible working, generous leave, and a dedicated professional development fund.
- Other info: Be part of a dynamic team culture with social events and career growth opportunities.
- Why this job: Make an impact by driving data quality and performance across our platform.
- Qualifications: Proficient in SQL, data modelling, and software engineering best practices.
The predicted salary is between 55000 - 65000 £ per year.
We are looking for a Senior Analytics Engineer to join our UK Engineering team. The role focuses on building and maintaining analytical data models, collaborating with cross‑functional teams, and driving data quality and performance across our platform.
Responsibilities:
- Design, build and maintain high quality datasets for engineering and reporting.
- Collaborate closely with engineers to assess and mitigate the impact of upstream product changes.
- Apply domain knowledge to develop semantic layers for business intelligence.
- Develop data models optimized for efficient querying over large datasets for reports embedded within our main platform.
Qualifications:
- Proficient in transforming, testing and documenting data while maintaining robust data lineage.
- Knowledgeable in data modelling, data access, and data storage techniques.
- Experience following software engineering best practices such as version control and continuous integration.
- Strong proficiency using SQL in cloud data warehouses (Snowflake) with performance optimisation, data partitioning and window functions.
- Ability to operate effectively and autonomously across multiple teams in ambiguous situations, given high‑level direction.
- Experience with dbt for data transformation layer.
- Experience with BI tooling such as PowerBI or Looker.
- Experience with AWS, Azure or GCP is a plus.
Benefits:
- 25 days annual leave + 2 volunteering days and birthday off; up to 30 days after five years of service.
- Flexible and remote working options.
- Enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan.
- Career and learning development through a dedicated professional development fund and an ongoing ‘Learn Anything’ fund.
- Recognition and rewards for doing great work and living our values.
- Flexible start and finish times and reduced hours options.
- Vibrant team culture with events and social activities.
- Easy access to the UK hub, railcard loan and cycle scheme.
We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
Senior Analytics Engineer - UK (Remote) in Bristol employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - UK (Remote) in Bristol
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in analytics. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Create a portfolio showcasing your data models and projects. Use platforms like GitHub to share your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Be ready to discuss your experience with SQL, dbt, and BI tools. Confidence and clarity can make a huge difference!
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in joining us at StudySmarter and makes it easier for us to find your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Analytics Engineer - UK (Remote) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with SQL, data modelling, and any relevant tools like dbt or PowerBI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how you can contribute to our team. Don't forget to mention any specific projects that showcase your expertise in data quality and performance.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to collaborate across teams and tackle complex data challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Menlo Ventures
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss how you've designed and maintained datasets in the past, especially in relation to SQL and cloud data warehouses like Snowflake. This will show that you understand the core responsibilities of the role.
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with engineers or other departments. Highlight any experiences where you assessed the impact of product changes and how you communicated those effectively.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss ambiguous situations you've faced in previous roles and how you navigated them. Companies love candidates who can operate autonomously while still aligning with high-level direction, so share specific instances where you took initiative.
✨Familiarise Yourself with BI Tools
If you have experience with BI tools like PowerBI or Looker, make sure to mention it! Even if you haven't used them extensively, showing a willingness to learn and adapt will impress interviewers. You might even want to explore some basic functionalities beforehand to demonstrate your interest.