Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Explores, examines and interprets large volumes of data in various forms
Performs analyses of structured and unstructured data to solve moderately complex business problems
Utilizing advanced statistical techniques and mathematical analyses
Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Uses data visualization techniques to effectively communicate analytical results and support business decisions
Creates and evaluates the data needs of assigned projects and assures the integrity of the data
Explores existing data and recommends additional sources of data for improvements
Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
The typical pay range for this role is:
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
1+ years of relevant analytic experience
Experience programming using R or Python
Experience in SQL
Demonstrates good written and verbal communication skills. Able to present information to various audiences
Effectively resolves problems and roadblocks as they occur
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Ability to work with large data sets from multiple data sources
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Master’s degree preferred
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