Bachelor s Degree with coursework in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience
Required
Or a Master s Degree with coursework in analytics, statistics, computer science, informatics, and/or mathematics
Required
or 4+ years of experience and passion for leveraging data to drive significant organizational impact.
Required
Experience with Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience connecting to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience using R, Python, SQL, etc. to manipulate and draw insights from large data sets as well develop software for automation
Required
2
Years
Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Required
2
Years
Experience with data manipulation to include cleansing, standardizing, and transforming
Required
2
Years
Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
Required
2
Years
Strong understanding of relational and dimensional databases, theories, principles, and practices
Required
2
Years
Experience in leading workshops or training sessions with a user community a plus
Required
Exceptional analytical, conceptual, and problem-solving abilities
Required
Experience generating and distributing visualizations to a broad range of audiences
Required
Must inhabit strategic thinking
Required
Strong written/oral communication and presentation skills
Required
Resourceful self-starter and highly motivated team player
Required
Able to perform well in a fast-paced environment
Required
Effective communicator and someone who enjoys getting to understand nuances of a problem
Required
Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)
Highly desired
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