Job Description

Who we are

As the global pioneer for digital twins of urban forests, we provide very detailed digital copies of each individual tree in a city. With our solution we support the digital transformation of smart cities world-wide. Combining the latest laser scanning technology with the most advanced AI & machine learning methods, greehill enables cities to be radically more productive in their daily operations and to improve the well-being of citizens through a greener, healthier, and more resilient urban environment. We currently operate offices in Budapest (HQ, R&D), Hannover, Singapore, San Francisco and Paris.

We are looking for an experienced Data Analyst to help us to search, collect and turn complex data into clear, actionable insight and present them to stakeholders to support strategic decision-making as well as performance tracking.

Your contribution will be

· Search, collect, consolidate, and validate financial and non-financial data across departments and systems.

· Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders.

· Perform in-depth data analysis and present them to stakeholders to support strategic decision-making and performance tracking.

· Collaborate with different teams across the organization to understand reporting needs and identify data-driven opportunities.

· Own data quality for your area — identifying gaps or inconsistencies, defining validation checks, and working with engineering to improve data infrastructure, contribute to improvements in back-end code (Python).

· Support the adoption of data-driven practices across the organization.

· Leverage AI tools/agents, stay current on industry trends, tools, and best practices in analytics, and proactively suggest improvements in data consolidation and reporting processes.

We need you to have

· 3+ years of experience in a data analyst, business analyst, or related quantitative role

· Experience with SQL, Python

· Familiarity with version control (Git)

· Strong analytical and problem solving skills

· Proactivity, being comfortable to work alone

· Flexibility and adaptibility to work in a dynamic, frequently changing environment

· Excellent communication skills in English, with experience presenting findings to senior stakeholders and influencing decisions.

· Advanced level MS Excel, MS Power Point

We value if you have

· Experience with ETL Pipeline

· Background in Agile methodologies

· Experience with AI Agents

· Bachelor's degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience; advanced degree a plus.

We offer

· Opportunity to join a dynamically growing startup team at an early stage

· Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts

· End to end ownership and impact

· Contribution to urban sustainability and climate resilience

How we work – We believe the best ideas happen when people spend time together. That’s why we work 4 days a week from the office, with 1 day from home, creating space for collaboration while still keeping some freedom.