At a Glance
- Tasks: Lead data modelling and analytics to drive impactful business decisions.
- Company: Join Unmind, a tech-for-good company focused on mental health.
- Benefits: Enjoy flexible working, private medical care, and generous holiday.
- Other info: Remote-first role with monthly meet-ups and a supportive team culture.
- Why this job: Make a real difference in mental health while advancing your analytics skills.
- Qualifications: Experience in SQL, data warehousing, and a passion for mental health.
The predicted salary is between 60000 - 75000 € per year.
Location: UK based, remote-first (with monthly travel to London)
At Unmind, we're here to create better mental health. We believe mental health should be a source of strength, not struggle – for people, teams, and entire organisations. We combine science, technology, and human care to help companies like Uber, Disney, Major League Baseball, and the NHS improve mental health and drive performance.
Our Values
- Outpace the rest – Move fast. Deliver excellence.
- Stronger together – We go further, faster, together.
- Client first – We win, when our clients win.
Inclusion & Belonging
We're building a place where everyone feels seen, heard, and supported – and where difference is celebrated. If you need adjustments during the process, tell us when you apply or email talent@unmind.com. Learn more about how we hire and our commitment to equity in our Candidate FAQ.
The Role - Senior Analytics Engineer
The core mission of data analytics is twofold: (1) provide actionable insights to all Unmind teams that drive product and business decisions and help build the best version of Unmind; and (2) provide analytics to our clients through the analytics product within the platform—helping clients understand how their employees are using Unmind, and the impact it’s having.
As a Senior Analytics Engineer, you will own company‑critical data domains end‑to‑end, set standards for modelling, testing, and governance, and turn ambiguous business questions into scalable data products. You will mentor other practitioners and influence product, commercial, and operational strategy through trustworthy, reproducible insights.
We’re also continuously evolving our analytics stack to make smart use of modern tooling, including AI-assisted workflows and dashboards-as-code. You’ll help shape this next stage, improving how we deliver reliable insights quickly while keeping our data products well-governed, maintainable and scalable.
Our stack includes AWS, dlt-hub for ingestion, Dagster for orchestration, dbt for modelling, Snowflake as our warehouse, OpenAI for LLM processing, Claude Code for AI-assisted coding, Python for analysis and processing, and Apache Superset for BI. You don’t need hands-on experience with every tool; we’re more interested in strong analytics engineering fundamentals and curiosity to learn.
In this role you'll get to:
- Own - You will take the architectural lead for the key data models in the company, and balance between technical excellence and delivery of value that brings you closer to your team's North Star.
- Build - You will build high performance and reusable data models for our data warehouse to ensure end-users are performing analysis with data that is accurate and intuitively structured.
- Collaborate - You will engage with different departments (e.g. Product and Marketing) to identify opportunities for leveraging and expanding the organisation’s data assets in order to inform business solutions.
- Empower - You will empower teams and decision-makers across the organisation by developing sophisticated data models and performing advanced statistical analysis.
- Governance - Introduce lightweight, effective governance for metrics definitions, documentation, and data access.
About You
In the spirit of equity and continuous growth, we invite you to remove education from your CV. Qualifications are not a factor in our decision-making. However, some experience in the following is important for this position:
- Advanced SQL and dbt skills to clean, transform and validate data from Data warehouses or Data Lakes
- Experience and knowledge in data warehousing and data modelling best practices
- Experience using Python for data analysis, automation or data quality workflows would be a plus.
- Experience in effectively using reporting tools to provide actionable insights to business teams
- Ability to understand & translate business requirements into analytical projects while building strong relationships with stakeholders
- Comfortable working in a small cross-disciplinary team where you will be the subject expert.
- Experience of working in an agile environment with good data analytics standards.
- Passion for mental health, tech-for-good, and generally improving people’s lives.
Tip for candidates: If you're unsure whether to apply – do. We know great people don't always tick every box.
Life at Unmind
We believe wellbeing and performance go hand-in-hand – and we build our environment to support both. A few highlights:
- Private medical for you & your family
- Equity in Unmind
- Generous gender-neutral parental leave
- 25 days holiday + birthday + celebration days
- Revive & Thrive Days – company-wide Friday off monthly (12 additional days holiday)
- Flexible working + early Friday summers
- Remote-first within the UK, with monthly in-person meet-ups and access to a London co-working space
- Annual learning budget + learning leave
- Free weekly therapy or coaching sessions
- Wellbeing support via WellHub & Bippit
See all benefits on our Careers Page.
Senior Analytics Engineer in London employer: Unmind
At Unmind, we prioritise both mental health and employee wellbeing, creating a supportive remote-first work environment that fosters collaboration and innovation. With generous benefits such as private medical care, equity options, and a commitment to continuous learning, we empower our team members to thrive both personally and professionally. Join us in making a meaningful impact on mental health while enjoying a flexible work culture that values ambition and empathy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Unmind on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections and showing your genuine interest in the company.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with tools like SQL, Python, and dbt, make sure you can talk confidently about your experience and how you’ve used these in past projects. Practice makes perfect!
✨Tip Number 3
Show your passion for mental health and tech-for-good during the interview. Share any relevant experiences or projects that highlight your commitment to improving people’s lives. This will resonate well with Unmind’s values and mission.
✨Tip Number 4
Don’t forget to ask questions! Prepare thoughtful questions about the team, the role, and Unmind’s future plans. This shows you’re engaged and serious about the opportunity. Plus, it helps you figure out if this is the right fit for you!
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Be Yourself:When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to share your passion for mental health and how it aligns with our mission.
Tailor Your Application:Make sure to customise your application to highlight your experience with data analytics and how it relates to the role. Show us how your skills can help us drive performance and improve mental health at Unmind!
Show Your Curiosity:We love candidates who are eager to learn! Mention any new tools or techniques you’re excited about, especially if they relate to our tech stack. It shows you’re not just about the basics but ready to evolve with us.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Unmind
✨Know Your Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, dbt, and Python. Even if you haven't used every tool, showing a solid understanding of analytics engineering fundamentals and a willingness to learn will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned ambiguous business questions into actionable insights in your previous roles. This will demonstrate your ability to own data domains and influence strategy, which is crucial for the Senior Analytics Engineer position.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Discuss how you've engaged with different departments to leverage data assets and inform business solutions, as collaboration is key to success at Unmind.
✨Passion for Mental Health
Express your enthusiasm for mental health and tech-for-good initiatives. Unmind values candidates who are passionate about improving people's lives, so sharing your personal connection to this mission can set you apart from other candidates.
