Product and Data Analyst

• An academic degree in Statistics, Data Analytics, Computer Science or equivalent work experience • A minimum of five (5) years of relevant professional experience in either geospatial datasets or high-volume time-series datasets and products analytics • A minimum of three (3) years of experience in open-source analytical stack Superset, Trino, QGIS, Kepler, Mapbox, Carto PostgreSQL DB, and Dagster • A minimum of five (5) years of experience with Python and SQL • A minimum of three (3) years of experience in data governance best practices and toolkits like Datahub, Deltalake, and Spark • A minimum of three (3) years of experience with product analytics tools like Matomo, Grafana, and Mixpanel • Knowledge of computer networks and understanding how ISP (Internet Service Providers) work is an asset • Near obsession with quality, accuracy and actionable data insights for product and process improvements • Experienced and comfortable with agile team dynamics, process, and tools (Slack, Zoom, etc.)