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- Tasks: Lead analytics engineering strategy and build scalable data models for impactful decision-making.
- Company: Join MANUAL, a fast-growing health-tech startup revolutionising access to health diagnostics and treatments.
- Benefits: Enjoy stock options, private healthcare, hybrid work, wellness perks, and 25 days annual leave.
- Why this job: Shape the future of data use in a supportive culture with real autonomy and growth opportunities.
- Qualifications: 8+ years in analytics engineering, expertise in dbt, SQL, and modern data stacks required.
- Other info: Be part of a mission-driven team focused on destigmatising health and wellness.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Join to apply for the Analytics Engineering Manager role at MANUAL
Join to apply for the Analytics Engineering Manager role at MANUAL
We’re hiring an Analytics Engineering Manager to drive the next phase of MANUAL’s data evolution. This is a rare opportunity to make a significant impact at one of Europe’s fastest-growing health-tech startups. Working closely with stakeholders across Product, Growth, and Engineering, you’ll lead the vision, strategy, and execution of our analytics engineering function.
You’ll own our dbt and warehouse infrastructure, build scalable data models that power decisions across the business, and set the standard for high-quality data delivery.
From day one, you’ll have real autonomy and the chance to shape the future of how data is used across MANUAL. Success in this role means delivering a world-class data layer that enables fast, accurate insight generation and self-serve analytics, while mentoring a growing team of analytics engineers.
We’re looking for someone with deep expertise in analytics engineering and data modelling, but just as significantly, someone with drive, curiosity, and a bias for action. You’ll need to be hands-on, strategic, and obsessed with building systems that scale. This role sits within the Data team and reports to the Head of Data. It’s a high-impact opportunity to grow personally and professionally while building a best-in-class data function.
What you\’ll be doing
- Own and evolve our analytics engineering strategy, architecture and roadmap
- Build and maintain scalable, well-documented dbt models powering business-critical reporting
- Collaborate with stakeholders to deeply understand data needs across Growth, Product, Marketing, and Operations
- Champion best practices in data modelling, testing, version control, and documentation
- Identify and resolve data quality issues, ensuring trust in our data
- Mentor and grow a high-performing analytics engineering team
- Drive adoption of self-serve analytics by enabling stakeholders with clean, well-structured data models
What we need from you
- 8+ years’ experience in analytics engineering, data modelling, or a similar role
- Deep experience with dbt, SQL, and modern data stacks (we use BigQuery, Looker, and GitHub)
- A strong grasp of data warehouse design, ELT pipelines, and dimensional modelling (e.g. Kimball)
- Proven track record of building scalable, maintainable analytics infrastructure
- Excellent communication skills and the ability to collaborate with both technical and non-technical teams
- A proactive mindset and a desire to take full ownership of the data layer
- Experience leading or mentoring other engineers is a plus
What we offer
- Stock option plan
- Private healthcare plan
- Hybrid role based in London Bridge 3 days a week with lunch once a week
- Wellness and gym benefits with Gympass
- Annual company retreat
- Cycle to work scheme
- Electric car scheme
- 25 days of annual leave plus bank holidays
- A growing team with plenty of opportunities for progression, ownership of goals and a direct impact to MANUAL
- Join in the early stages of one of the most promising scale-ups in the health & wellness space
We are destigmatising how people approach their health by offering easy access to diagnostics, a holistic range of treatments, ongoing care and medical advice, as well as a community to help proactively improve one’s health and wellbeing. A place that didn\’t exist until now.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Hospitals and Health Care
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Analytics Engineering Manager employer: Manual
Contact Detail:
Manual Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineering Manager
✨Tip Number 1
Familiarise yourself with MANUAL's mission and values. Understanding how they aim to destigmatise health and wellness will help you align your experience and vision with theirs during discussions.
✨Tip Number 2
Network with current or former employees of MANUAL on platforms like LinkedIn. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of your experience with dbt, SQL, and data modelling. Be ready to explain how you've built scalable analytics infrastructure in previous roles, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Showcase your leadership skills by preparing to discuss how you've mentored teams in the past. Highlighting your ability to grow a high-performing analytics engineering team will resonate well with their needs.
We think you need these skills to ace Analytics Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics engineering and data modelling. Focus on your expertise with dbt, SQL, and modern data stacks, as well as any leadership or mentoring roles you've held.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how you can contribute to MANUAL's mission. Mention specific projects where you've built scalable analytics infrastructure and how you’ve collaborated with cross-functional teams.
Showcase Relevant Experience: When detailing your work history, emphasise your 8+ years of experience in analytics engineering. Include examples of how you've driven data quality improvements and championed best practices in data modelling.
Highlight Soft Skills: MANUAL values excellent communication skills and a proactive mindset. Be sure to mention instances where you've effectively communicated complex data concepts to non-technical stakeholders or taken ownership of projects.
How to prepare for a job interview at Manual
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with dbt, SQL, and modern data stacks. Highlight specific projects where you've built scalable analytics infrastructure and how you approached data modelling challenges.
✨Demonstrate Leadership Skills
Since the role involves mentoring a team, share examples of how you've led or supported other engineers in the past. Discuss your approach to fostering a collaborative environment and driving team success.
✨Understand the Business Context
Research MANUAL and its data needs across different departments like Growth, Product, and Marketing. Be ready to discuss how your analytics engineering strategy can align with their goals and improve decision-making.
✨Prepare for Problem-Solving Questions
Expect questions about data quality issues and how you've resolved them in previous roles. Think of specific scenarios where you identified problems and implemented solutions that ensured trust in the data.
