Geospatial Consultant

Please find below job details :

Experience :

Location :

Mode :

- Building a high performing global center of excellence for geospatial analytics within Performance Improvement Practice

- Oversee the collection, processing, and analysis of geospatial data using advanced GIS tools and methodologies

- Have strong knowledge on various spatial models and algorithms to solve complex problems

- Ensure data quality, accuracy, and consistency across projects

- Collaborate with cross-functional GCC teams to integrate geospatial insights into broader client objectives

- Selling and delivering solutions - managing multiple chargeable and non-chargeable projects, conducting the final quality control review of reports and other client deliverables, and leading meetings with senior clients stakeholders and other third parties

- Building strong relationships with clients through exceptional day-to-day project management, coordination, and execution

- Hiring, mentoring and coaching junior staff - creating a learning environment by providing meaningful coaching to staff, leading pointed training sessions, providing feedback to team members, and facilitating the learning and development of direct reports

- Participate in training sessions and workshops to enhance technical skills in geospatial technologies.

Qualifications:

- Experience working with a global consulting firm, delivering geospatial driven analytics consulting services delivery for corporate and PE clients

- MBA or Master's from a top-tier institute

- Strong analytical, negotiation, problem-solving skills and ability to translate business context into technical requirements

- Have strong knowledge on various spatial models and algorithms to solve complex problems

- Excellent communication and interpersonal skills, with the ability to work effectively in a global team environment

- Proficiency in solutions around

- Geo Spatial Analytics (custom solutions, scenario modelling, large volume rendering, foot traffic, shape file formats)

Proficiency in technical skills:

- Python (Geospatial libraries like geopandas), SQL, Alteryx

- Visualization tools (ArcGIS, QGIS, PowerBI, CARTO)

- Statistical Analysis methodologies (Gradient Boost, Random Forest)

- Microsoft Office Suite (must have)

- Familiarity with cloud-based GIS platforms or big data environments

- Ability to work independently and manage multiple tasks and priorities

- Detail-oriented with strong organizational skills