Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customizable solutions that establish performance-driven processes, sustainable architectures, and automated platforms based on data governance best practices.
Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organizations to discover, value, and produce their data in both traditional environments and fully compliant Data Mesh architectures.
With a highly skilled team of over 130 data engineers based in Europe, Agile Lab helps organizations with their data-driven transformation.
Take a look at our handbook to discover our core values and processes.
The opportunity: We are looking for a Data Analyst - Geo Analytics IV to join our team.
RAL:
€ 60K –70K + 4K bonus pack
Responsibilities: Analyze and interpret large datasets, particularly geospatial data, to derive actionable insights and support decision-making processes. Develop and maintain geo-analytics systems using platforms like ESRI ArcGIS and other GIS tools. Design workflows and processes for data collection, cleaning, and analysis of geospatial data. Collaborate with cross-functional teams to integrate geospatial data into broader business strategies. Assist in the creation of visual representations (maps, dashboards) to communicate analytical insights effectively. Mentor junior team members in data analysis techniques and geospatial tools. Stay up to date with the latest developments in geo-analytics and data science. Requirements: Bachelor's degree in Computer Engineering, Math, Computer Science or a related field. + 6 years of previous experience in analyzing geospatial data and working with GIS platforms (ArcGIS, QGIS). Proficiency in programming languages like Python and JavaScript for data analysis and web development. Strong knowledge of SQL, PostgreSQL, and spatial databases (PostGIS). Experience with open-source geospatial technologies and tools (GeoServer, OpenLayers). Understanding of data visualization techniques and experience building dashboards. Strong problem-solving skills and the ability to translate business requirements into data-driven solutions. Excellent communication skills and ability to collaborate across teams. Proactivity and willingness to learn and adapt in a fast-paced environment. How we work: We don't like hierarchies: we work as a team; We don't like bureaucracies, we prefer a sense of responsibility; We like data, certainly, so anything that is measurable; We want to make a positive change in our industry; Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work. This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.
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