J442 - Geoanalytics Analyst, X Delivery

.What You'll DoBCG X is BCG's premier data science and advanced analytics capability with 1000+ data scientists, engineers, and analysts globally. Within BCG X, our X.Delivery Teams are our hybrid client-facing/consulting-support that leverages available tools and code bases to deliver powerful and specialized insights that help our clients tackle their most pressing business problems. We partner with BCG case teams across the full analytics value chain: framing new business challenges and problems, designing and executing innovative analytical solutions, and interpreting findings for our clients. GeoAnalytics is a sub-team in X.Delivery with expertise in geospatial data, analytics and technology. Our 35+ member team is a global resource, working with clients in every BCG region and in every industry area. It is a core member of BCG X - a rapidly growing analytics enterprise at BCG deploying a constellation of teams focused on driving practical results for BCG clients by applying leading edge technologies. As an Analyst in GeoAnalytics, you will be solving a variety of location-based analytical problems for our clients. You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex. Tableau, Alteryx). You will leverage a range of techniques such as geospatial clustering, network analysis, location-based optimization and predictive analytics/modeling. You will be expected to distill insights from your analysis and link them to business objectives. You will contribute to IP development, content development, and support internal marketingWhat You'll Bring1-3 years of relevant work experience in GeoAnalytics with advanced degree preferredRelevant degree in geospatial related field such as: Geography, Geology, Environmental Science, Remote Sensing, Urban Planning, Statistics/GeoStatistics, Applied Mathematics, or Computer SciencePrevious experience working in a global organization or professional services firm is preferredDemonstrated experience in the following:GIS software such as ESRI ArcGIS or QGISDescriptive statistics and statistical methods (e.G. correlation, regression, clustering, etc.) with applications in machine learningData management skills (e.G. data modeling, data integrity QA/QC, querying, analysis)Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra..)Business Intelligence/data visualization platforms such as Tableau, Power BI, etc