C&I Analytics Analyst - Geospatial Aanalytics

McKinsey - San Jose, CA

Full-time - Entry Level

San Jose, CA

Professional, Scientific, and Technical Services

About the position

The C&I Analytics Analyst - Geospatial Analytics role at McKinsey & Company involves working within the Geospatial Analytics team to create business insights from location-based analytical problems. The position requires collaboration with a diverse team to deliver high-quality analyses and client service experiences, utilizing various spatial toolkits and data visualization techniques. The analyst will engage in project-oriented work, contributing to both client projects and the firm's knowledge base in geospatial topics.

Responsibilities

• Create business insights from location-based analytical problems for clients.
• Support team workflow administration and knowledge coordination.
• Devise and execute spatial analyses using GIS software and datasets.
• Communicate insights to consultants and clients through written communication and data visualization.
• Work on location strategy projects, including assessing potential acquisitions and optimizing footprints.
• Analyze placement of EV charging infrastructure and retail expansion strategies.
• Conduct territory design and healthcare footprint optimizations.
• Perform client segmentations to maximize sales and optimize marketing spend.
• Contribute to McKinsey's knowledge base on geospatial topics.

Requirements

• Bachelor's or master's degree in a relevant quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics).
• Strong command of the English language (both verbal and written).
• 1+ years of data science experience, including academic experience and internships.
• Knowledge of machine learning and statistical techniques (e.g., clustering, decision trees, regression).
• Programming experience in Python and SQL is a must.
• Familiarity with geospatial analysis and GIS tools (e.g., ArcGIS, QGIS).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong problem-solving and quantitative skills.

Nice-to-haves

• Experience with R and Scala programming languages.
• Familiarity with spatial statistics and network analysis.
• Experience with big data processing and AWS.

Benefits

• Professional development opportunities.
• Supportive work environment with leadership guidance.
• Access to a global analytics community.