GIS Data Analyst

We are looking for GIS Analysts.

We are Rockup — a startup building a new kind of social networking and messaging mobile app focused on real-time geolocation. Think Telegram-meets-Tinder, but with a focus on location and communities - a tool for connecting with the people around you when you need it most.

Backed by a profitable sister company, we have the energy and agility of a startup coupled with the resources of a mature organization. We’re a fast-moving startup nearing our MVP launch, and we’re looking for a diligent and inquisitive GIS Data Analyst. Our ideal candidate will be able to own the entire geo-data lifecycle: from collection and engineering to deep analysis and quantifying product impact.

This is a real chance to influence a product early on that could scale to millions of users around the world.

Responsibilities

• Data Engineering: Source, evaluate, and extract geospatial data from various sources (APIs, open and commercial datasets, OpenStreetMap, government portals, etc.).
• Data Quality: Develop data quality metrics. Build and maintain ETL/ELT pipelines for collecting, cleaning, validating, and deduplicating spatial data.
• GIS Work: Create, process, and manage the core geospatial datasets (polygons, points of interest) that are the heart of our product (buildings, streets, parks, neighborhoods, stadiums, etc.).
• Product Analytics: Analyze user behavior relative to geographic locations. Identify patterns, anomalies, and opportunities for growth.
• Presentation: Conduct deep spatial and product analysis, translate findings into product and business language, and present your conclusions, defending your point of view with data.

Requirements

• Excellent knowledge of SQL, including experience with spatial extensions (e.g., PostGIS, BigQuery GIS).
• Strong experience with Python and its data stack (pandas, GeoPandas, requests, scikit-learn, etc.).
• Experience building ETL/ELT processes for data collection and processing.
• Deep understanding of GIS concepts: coordinate systems, projections, geometry types, spatial operations, and queries.
• Experience in product or data analytics: ability to work with product metrics, funnels, and user behavior analysis.
• Self-driven, proactive, and comfortable working in a fast-paced startup environment.

Conditions

• Exert direct influence on analytics culture and processes in an early-stage company.
• Work in a hybrid setup from sunny Limassol, or remotely if you’re a great fit.
• Relocation package (if applicable), and help with the work permit.
• Full relocation support for candidate and a family.
• Competitive salary + launch-based performance bonuses.
• Fast growth opportunities as we expand beyond Cyprus.
• Comfortable office space with fruits and snacks.
• Birthday gifts and welcome baby bonuses.