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United States

Internship

Remote

$19/hr - $21/hr

Intern

Voltus provides cash-generating energy products to commercial, institutional, and industrial customers. The Sales Analytics, Predictive Modeling Intern is responsible for building a predictive model to estimate opportunity size and supporting the sales team by improving efficiency and productivity.

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Responsibilities

Create and deploy a predictive model that estimates the opportunity size of a location based on inputs from a variety of sources
Identify and validate variables and parameters required for accurate predictions
Evaluate, validate, and tune model using real and test data
Solid foundation in data cleaning, preparation, and transformation
Experience leading or working independently on a data project end-to-end demonstrating skills in project management, problem solving, and collaboration
Collaborate with cross-functional teams, including Sales Operations and Engineering to define, implement, and automate model outputs
Proficiency with statistical analysis and tools including Microsoft Excel, Salesforce CRM, Python, R, SQL
Desire to learn and understand our processes to support marketing and sales efforts, including developing and managing our lead generation processes
Interest in learning and applying best practices in data analysis & data science
Interest or experience with using software engineering tools like git, CRUD REST APIs, jupyter
Good communication and teamwork abilities
Eagerness to learn and take initiative

Qualification

Required

Create and deploy a predictive model that estimates the opportunity size of a location based on inputs from a variety of sources
Identify and validate variables and parameters required for accurate predictions
Evaluate, validate, and tune model using real and test data
Solid foundation in data cleaning, preparation, and transformation
Experience leading or working independently on a data project end-to-end demonstrating skills in project management, problem solving, and collaboration
Collaborate with cross-functional teams, including Sales Operations and Engineering to define, implement, and automate model outputs
Proficiency with statistical analysis and tools including Microsoft Excel, Salesforce CRM, Python, R, SQL
Desire to learn and understand our processes to support marketing and sales efforts, including developing and managing our lead generation processes
Interest in learning and applying best practices in data analysis & data science
Interest or experience with using software engineering tools like git, CRUD REST APIs, jupyter
Good communication and teamwork abilities
Eagerness to learn and take initiative