
Data Science and Geospatial Analysis Professional
3 days ago
We are seeking an expert in geospatial datasets and high-volume time-series data to join our team. The ideal candidate will have hands-on experience with open-source analytical stacks and product analytics platforms, combined with excellent problem-solving skills and a passion for delivering accurate, actionable insights.
Key Responsibilities:
- Design, analyze, and manage geospatial datasets and high-volume time-series data for process optimization.
- Leverage open-source analytical tools (Superset, Trino, QGIS, Kepler, Mapbox, Carto, PostgreSQL, Dagster) to build scalable and insightful analytics solutions.
- Develop advanced data pipelines and workflows for analytics, ensuring scalability and performance.
- Implement and enforce data governance best practices using Datahub, Deltalake, and Spark.
- Perform advanced data analysis and visualization using Python and SQL to generate actionable insights.
- Drive product analytics initiatives using tools such as Matomo, Grafana, and Mixpanel to improve customer experience and product performance.
- Ensure high quality, accuracy, and reliability of analytics outputs for informed decision-making.
- Collaborate with cross-functional teams in an Agile environment to deliver data-driven solutions.
- Provide insights into network performance and infrastructure by leveraging knowledge of computer networks and ISPs.
Requirements:
- Bachelor's degree in Statistics, Data Analytics, Computer Science, or equivalent work experience.
- 5+ years of professional experience in geospatial datasets or high-volume time-series analytics.
- 5+ years of experience in Python and SQL for advanced analytics.
- 3+ years of experience with open-source analytical stack: Superset, Trino, QGIS, Kepler, Mapbox, Carto, PostgreSQL, and Dagster.
- 3+ years of experience in data governance best practices and toolkits (Datahub, Deltalake, Spark).
- 3+ years of experience with product analytics tools (Matomo, Grafana, Mixpanel).
Preferred Qualities:
- Strong analytical and problem-solving mindset.
- Excellent communication and collaboration skills.
- Passion for delivering high-quality, actionable insights.
- Ability to work independently as well as in cross-functional teams.
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