Sr. Manager Advanced Analytics

POSITION SUMMARY:

The Sr. Manager, Advanced Analytics develops actionable insights and solutions to strategic business challenges by leveraging advanced modeling and analytical techniques.  The Sr. Manager is responsible for all aspects of advanced analytics including the preparation of data, development and implementation of models, design and execution of experiments, and presentation of results.

PRINCIPLE 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.

QUALIFICATIONS: 

• Master’s degree
• Waste Industry experience or experience working in a subscription-based industry. 

MINIMUM QUALIFICATIONS: 

• 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 of applying statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees to real word business problems. 
• 5+ years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software.
• 5+ years of experience building, managing and manipulating large data sets in a database environment
• 5+ years of experience working with IT or other operational resources to automate analytics workflows and models.
• Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint. Excel skills should be advanced  

ROLE HIGHLIGHTS:

• Prior leadership experience is required, experience as a Data Scientist preferred.

• Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred.

• Collaborates with business leaders to define a roadmap of data science deliverables.

• Leads the team in defining and developing production-ready solutions.

Rewarding Compensation and Benefits

Eligible employees can elect to participate in:
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts. 
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs