Strong foundation in data cleaning, preparation, and transformation., Experience with statistical analysis tools like Python, R, SQL, and Excel., Ability to work independently on data projects, demonstrating project management and problem-solving skills., Interest in data analysis, data science, and software engineering tools such as git and APIs..
Key responsibilities:
Build and deploy a predictive model estimating opportunity size.
Identify and validate variables for accurate predictions.
Collaborate with Sales Operations and Engineering teams to implement model outputs.
Evaluate, validate, and tune the predictive model using real and test data.
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Voltus aims to be the distributed energy platform that fulfills the promise of the energy transition. Voltus represents the “potential of us” to better manage energy through simple, cost and risk-free programs for distributed energy resources. Our commercial and industrial customers generate cash by allowing us to maximize the value of their operational flexibility in energy markets. What’s more, there are significant community benefits that accompany working with Voltus – a cleaner, more reliable energy future and dollars invested back into your business.
The Sales Analytics, Predictive Modeling Intern eliminates friction and inefficiency for the Voltus sales teams. This person is passionate about putting the best prospects into the hands of salespeople, and surfacing the best quality in the industry. This person would build a predictive model that estimates opportunity size using critical prospect information. If you love to create smooth functioning systems, collaborate with world-class teammates, and see the results of your work through the increasing productivity of those you support, then this is the role for you!
This person would report to the Sales Analytics team and would be supported with additional guidance from Engineering and the analyst community.
Key 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
At Voltus, we are proud to be an equal opportunity employer. We recognize that a diverse organization begins with a diverse candidate pool. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, age, sexual orientation, veteran status, disability status, or marital status.
Required profile
Experience
Industry :
Utilities (Electric, gas & water)
Spoken language(s):
English
Check out the description to know which languages are mandatory.