Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.)
2+ years of experience leading analysts directly or in a matrix capacity as part of large, complex projects requiring resources across multiple teams
5+ Years of experience and demonstrated knowledge in the waste industry or a subscription-based industry
Responsibilities
Participates in determination of stakeholder needs and ensures business value is realized
Determines data analysis goals given business objectives
Determines data requirements and performance metrics to support analysis
Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. This encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place
Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support
Prepares complex data for analysis, e.g., cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data
Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals
Evaluates and validates correctness of models and analysis. Assesses and confirms performance of models and analysis. Validates that models and analyses meet business objectives
Works with field organizations to construct statistically valid tests of new initiatives. Responsible for experimental design, measurement of results and the development of strategy insights and implications
Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves
Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience
Demonstrates attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines
Builds and manages a best-in-class advanced analytics team
Performs other job-related duties as assigned or apparent