Senior Data Analyst

As a Senior Data Analyst at Techleap, you drive the full lifecycle of the analytical products that shape our strategy, insights, and decision‑making across the Dutch tech and deep tech ecosystem. You take complete ownership—from defining requirements and building scalable data models to delivering dashboards, datasets, and reports used at the highest strategic levels.

This is a senior role with high autonomy and cross‑functional impact, operating with deep influence across the deep tech team and also working closely with the data teams across other Techleap units. This also means an extensive collaboration with data specialists from other organizations, such as dealroom, Invest

NL and TNO.

In this role, you will lead complex analytical initiatives that guide Techleap’s strategic direction. You’ll create deep, data‑driven analyses of high‑value verticals such as quantum, biotech, compute, energy and climate tech. Furthermore you will be mapping funding landscapes, talent pools, infrastructure readiness, and competitive positioning. These vertical deep dives help reveal ecosystem gaps, surface high‑potential opportunities, and inform policy and support recommendations.

You will also be responsible for flagship publications like the State of Dutch Tech Report, conducting annual ecosystem‑wide analyses on funding, talent, valuations, exits, and international competitiveness. You’ll combine historical trends with forward‑looking insights to create narratives used by leadership, government stakeholders, and media.

Another recurring responsibility is the Academic Venture Monitor, where you track the performance of university spin‑offs and research commercialization. You’ll benchmark Dutch academic innovation against global peers and illuminate areas for improvement in collaboration between academia and industry.

Beyond research and analysis, you own analytical products end‑to‑end: translating complex questions into structured analytical products, designing scalable data models and semantic layers, building dashboards with consistent definitions, and ensuring they update reliably. You’ll use AI tools where relevant to accelerate analysis and maximize productivity.

You’ll lead projects from scoping to delivery, managing expectations, risks, and timelines and work closely within the Deeptech program and across the Techleap Community and AI Hub. Driving adoption also matters: you’ll train users, create documentation, and establish feedback loops, so your work leads to real, measurable outcomes.

Your role includes shaping data quality and governance. You’ll define KPI standards, formalise data contracts, and implement monitoring and alerting to strengthen trust in our metrics. Ultimately, your work reduces time‑to‑insight, increases clarity across the organisation, and delivers high‑value analytical outputs that move the ecosystem forward.

Lastly you will publish blogs or Linked In posts sharing insights based on data. In doing so, you will give Techleap’s Expertise Centre a clear voice and strong public presence.

TL’s data environment is built on a modern, cohesive stack that supports reliable insights and scalable growth. At the core are Google Workspace and selected Google Cloud components, forming the operational backbone. Data is transformed and organised through dbt and stored in Big Query, which together serve as the central warehouse and lake. Relationship and CRM data are managed in Attio, while Steep provides the business intelligence layer that turns complex information into clear, actionable dashboards.

The ecosystem draws from a blend of internal business systems and external datasets, ensuring a rich, up‑to‑date picture of the tech landscape. All of this is supported by strong data practices, including standardised KPIs, clear data contracts, continuous monitoring, and rigorous quality assurance.

Our ideal candidate embodies most of the qualities listed below. If you don’t meet every requirement but believe you’re the right fit, we encourage you to make your case.

• You have more than six years of experience in analytics, data product development, or…