C&I Analytics Analyst - Geospatial Aanalytics

You will join the Geospatial Analytics team as part of McKinsey’s Global Client Capabilities Network (CCN), which includes more than 4000 diverse professionals delivering distinctive client impact and fueled by a culture of innovation.

The Geospatial Analytics team is part of a broader research team that covers Americas market knowledge – comprised of about 50 researchers across North, Central and South America.

You will work with Geospatial Analytics team members primarily in the Americas but occasionally in Asia, Europe, and Africa as part of client service and knowledge development. You will interact with our global analytics community and partner with integrative consultants, clients, and other colleagues to deliver high-quality analyses and a great client service experience.

You will work with the Geospatial team to create business insights from location-based analytical problems for our clients. As part of your role, you will also support team workflow administration and knowledge coordination.You will work in a fast-paced team environment combining business thinking and spatial intelligence to solve business problems across a variety of industries and geographies.

Your work will be project-oriented, with a mix of client, knowledge, and internal initiatives. You will work closely with geospatial experts to devise and execute spatial analyses using a wide range of spatial toolkits, including open-sourced and licensed GIS software, datasets, and proprietary assets. You will clearly communicate insights to consultants and clients using a variety of forms, including written communication, compelling static and interactive charting, and data visualization. You will perform these roles through a mix of remote and some on-site client work.

Some typical projects include: working on location strategy projects by assessing the footprint of potential acquisitions to analyze areas of overlap and optimize footprints, analyzing where to place EV charging infrastructure to reach the highest number of customers and how a retailer can expand their footprint, identifying driver of performance leveraging machine learning models. Also, working on territory design or health care footprint optimizations by analyzing catchment areas for hospitals to help clients with location planning for new care units and creating optimal territory designs for reps to visit clients. You will also perform client segmentations by creating clusters for B2b or B2C clients to maximize sales, optimize pricing, marketing spent.

In addition to serving clients, you will also contribute to McKinsey’s knowledge base on geospatial topics. We are constantly investing in knowledge development to ensure we bring best in class approaches and resources to our clients. You will spend some portion of your time building our team’s knowledge, for example, in the form of codified expertise, standardized approaches to recurring questions, exploring new sources of data, and building tools.