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Geospatial Sr.analyst Map
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-06-02
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Scientist
Job Description & How to Apply Below
1.Job title : GEOSPATIAL SR.ANALYST MAP
2.Job summary :
The Geo Spatial Sr. Analyst MAP role requires a seasoned professional with 6 to 8 years of experience in geospatial data analysis. The candidate will leverage their expertise in Databricks and Azure Data to drive insights and solutions. This hybrid role offers the flexibility of day shifts, focusing on enhancing data-driven decision-making processes without the need for travel.
3.Experience : 6to8
Yrs
4.Required Skills : ,Databricks,Azure Data
5.Nice to have skills :
6.Technology :
-Not Applicable
7.Shift :
Day 8.Responsibilities :
- Analyze complex geospatial datasets to extract meaningful insights that drive business decisions.
- Develop and implement data models using Databricks and Azure Data to enhance data processing efficiency.
- Collaborate with cross-functional teams to integrate geospatial data into existing systems and workflows.
- Provide technical expertise in the design and execution of geospatial data projects.
- Ensure data quality and integrity by implementing robust data validation processes.
- Create detailed reports and visualizations to communicate findings to stakeholders effectively.
- Support the development of geospatial strategies that align with company objectives.
- Optimize data storage and retrieval processes to improve system performance.
- Conduct regular audits of geospatial data to ensure compliance with industry standards.
- Lead initiatives to explore new geospatial technologies and methodologies.
- Train and mentor junior analysts in geospatial data analysis techniques.
- Facilitate workshops and presentations to share insights and best practices with the team.
- Monitor industry trends to keep the company at the forefront of geospatial innovation. Qualifications - - Possess a strong background in geospatial data analysis with a focus on Databricks and Azure Data.
- Demonstrate proficiency in developing and implementing data models for geospatial applications.
- Exhibit excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Have a keen eye for detail and a commitment to maintaining high data quality standards.
- Show a proactive approach to learning and applying new geospatial technologies.
- Communicate effectively with both technical and non-technical stakeholders.
- Display a strong understanding of industry standards and best practices in geospatial data
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