Senior Analyst – Geospatial Analytics
Mckinsey & Company, Inc.
Gauteng, South Africa
5d ago
source : findojobs-za

You will be based in our Johannesburg office as part of our Client Capabilities Network (CCN) Analytics team. You will work closely with the global geospatial analytics team in providing analytics insights to consulting teams and clients across the globe.

The team is predominantly composed of data analysts, data scientists and data engineers who work across a variety of industries, functions and analytics methodologies.

Colleagues in our global Client Capabilities Network deliver distinctive client impact through assets and expertise and are driven by a culture of innovation.

What You'll Do You will be part of engagements focusing on geospatial / location analytics. In this role, you will be involved in projects such as decoding spatial and temporal patterns in customer behaviors, analyzing the drivers of performance to improve customer relationship management, developing an optimal distribution network configuration model for a global supply chain, or geographically optimizing a field sales force.

You will be a subject matter expert on advanced geospatial techniques, statistical analysis and machine learning algorithms.

You advise on quantitative modeling techniques in order to derive business insights and solve complex business problems.

This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations.

You will also be responsible for presenting results to client management and implementing recommendations with client team members.

You will have the opportunity to gain new skills and build on the strengths you bring to the firm. You will receive exceptional training as well as frequent coaching and mentoring from local and global colleagues on your teams.

  • Qualifications University degree in computer science, engineering, applied mathematics, geoinformatics, quantitative social sciences or related field with excellent academic record;
  • advanced degree preferred 3+ years of technical experience in working with spatial data and applying statistical and machine learning algorithms (such as clustering, decision trees, artificial neural networks, regression etc.

  • Programming experience in Python and SQL; some experience with R is preferred Familiarity with geospatial analysis, spatial statistics, network analysis, geographic visualization;
  • experience in working with GIS tools (e.g., ArcGIS, QGIS, PostGIS) is a plus Ability to work with relational databases (e.

  • g., SQL, PostGIS); knowledge of distributed database systems (Hadoop, Spark, MapReduce) is a plus Experience in visualization platforms such Tableau or Power BI;
  • experience in ML and data science webapps such as Dash is a plus Good presentation and communication skills; ability to translate complex analytical concepts to business stakeholders

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