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- Tasks: Design and build scalable ETL pipelines, develop data models, and deliver impactful insights.
- Company: Join a leading UK-based venture capital firm focused on early-stage B2B technology businesses.
- Benefits: Enjoy a hybrid work model with 3 days in the office and 2 days remote.
- Why this job: Make a visible impact in a fast-paced, collaborative environment that values quick product delivery.
- Qualifications: Strong experience in cloud environments, excellent SQL skills, and proven end-to-end data solutions expertise.
- Other info: Ideal for self-starters who thrive on autonomy and shaping the future of data platforms.
The predicted salary is between 63000 - 81000 £ per year.
Analytics Engineer (VC Eco-System) Salary: £75K – £90K Location: London – Hybrid (3 days in Farringdon office, 2 days remote) Data Idols are working with a leading UK-based venture capital firm to find an Analytics Engineer who will play a pivotal role in advancing their data origination platform. This platform ingests data from multiple sources, enriches company profiles, and helps the investment team identify the most promising early-stage B2B technology businesses. The Opportunity As an Analytics Engineer, you will take ownership of the platform\’s data pipelines, models, and reporting layers, delivering high-impact insights that directly influence investment decisions. You\’ll work autonomously to execute a defined roadmap, but also contribute to the longer-term vision and architecture. You\’ll join a small, collaborative, and ambitious team where your work will have a visible and measurable impact on the success of the business. This role is ideal for someone who thrives in environments where shipping products quickly is valued over building infrastructure for infrastructure\’s sake. This is an opportunity to shape the future of a high-impact data platform in the VC ecosystem and work directly with decision-makers in a fast-paced, data-driven investment environment. What You\’ll Be Doing Designing and building scalable ETL pipelines to integrate and transform data from 12+ sources Developing and maintaining data models that power dashboards, reports, and investor tools Working closely with investment stakeholders to translate business needs into data products Taking full ownership of delivery – from requirements gathering through to deployment Helping shape the future of the data origination platform as it scales Skills and Experience Strong experience in a modern cloud environment (AWS or GCP) Excellent SQL skills and experience with data modelling best practices Proven track record of building and maintaining end-to-end data solutions Experience with BI tools and dashboarding (e.g., Looker, Tableau, or similar) Strong stakeholder communication skills, with the ability to translate technical concepts into business value Self-starter mindset with the ability to work autonomously and take ownership If you are an Analytics Engineer looking for a new challenge where your skills will directly drive investment success, please submit your CV for initial screening and more details. Analytics Engineer (VC Eco-System)
Analytics Engineer (VC Eco-System) employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer (VC Eco-System)
✨Tip Number 1
Familiarise yourself with the venture capital ecosystem and the specific challenges faced by investment teams. Understanding their needs will help you tailor your discussions and demonstrate how your skills can directly impact their decision-making process.
✨Tip Number 2
Showcase your experience with cloud environments like AWS or GCP in conversations. Be prepared to discuss specific projects where you've built scalable ETL pipelines, as this will highlight your technical expertise and relevance to the role.
✨Tip Number 3
Prepare to discuss your approach to stakeholder communication. Since this role requires translating technical concepts into business value, think of examples where you've successfully collaborated with non-technical teams to deliver impactful data solutions.
✨Tip Number 4
Demonstrate your self-starter mindset by sharing instances where you've taken ownership of a project from start to finish. Highlighting your ability to work autonomously will resonate well with the team’s collaborative and ambitious culture.
We think you need these skills to ace Analytics Engineer (VC Eco-System)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, particularly with ETL pipelines and data modelling. Use specific examples that demonstrate your skills in a cloud environment like AWS or GCP.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Emphasise your ability to work autonomously and your experience in translating business needs into data products. Show enthusiasm for the venture capital ecosystem.
Highlight Technical Skills: Clearly list your technical skills, especially SQL proficiency and experience with BI tools like Looker or Tableau. Mention any projects where you built end-to-end data solutions to showcase your capabilities.
Showcase Communication Skills: In your application, provide examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This is crucial for the role, as you'll be working closely with investment teams.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud environments like AWS or GCP, as well as your SQL expertise. Bring examples of past projects where you built and maintained data solutions, and be ready to explain the technical details in a way that highlights their business impact.
✨Understand the VC Ecosystem
Familiarise yourself with the venture capital landscape and how data plays a role in investment decisions. This knowledge will help you demonstrate your understanding of the industry and how your skills can contribute to the firm's success.
✨Prepare for Stakeholder Interaction
Since the role involves working closely with investment stakeholders, practice articulating complex technical concepts in simple terms. Think of examples where you've successfully communicated with non-technical team members to ensure everyone is aligned on project goals.
✨Demonstrate a Self-Starter Attitude
The company values autonomy and ownership, so be ready to share instances where you've taken initiative in your previous roles. Highlight how you’ve managed projects independently and contributed to a team’s success without needing constant supervision.
