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 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, OSM, 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.)