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 220 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.
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.
* At least 6 years of experience analyzing geospatial data and working with GIS platforms (ArcGIS, QGIS).
* 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.
Additional Benefits :
* Full remote or hybrid work options in Milan, Turin, Padua, Bologna, Catania, and Rende.
* Work-life balance focus.
* Monthly training budget (time and money).
* Structured career path with clear expectations and salary progression.
* Support of a buddy during the first week.
* Guidance from a coach to select suitable experiences for your growth.
* Benefits and corporate welfare programs: prizes, welcome pack, and equipment.
* Opportunity to work abroad for 2 weeks (Agile Nomads Experience).
* Referral bonus for recommending talented colleagues.
* Opportunity to attend one conference per year.
* Company rated 4.8/5 on Glassdoor and certified as a Great Place to Work.
* Inclusive environment fostering authenticity.
* Stimulating environment focused on professional and personal growth.
We offer :
* Remote or smart working options and work-life balance.
* Monthly training budget for professional development.
* Clear career progression with salary expectations.
* Welcome pack with necessary equipment.
* Annual conference attendance.
* Inclusive and authentic environment.
* Growth-oriented environment for both professional and personal development.
How we work :
* Flat hierarchy: we work as a team.
* Focus on data and measurable outcomes.
* Aim to make a positive impact in our industry.
* Core values include empathy, humility, collaboration, and willingness to challenge ourselves.
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 as non-binary or of any other identity. We are committed to fostering a diverse and inclusive workplace.
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