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Job Summary: 

 

• NRG is seeking an Analyst with excellent analytics skills to join our NRG Home East Lifecycle Optimization team.  The position will be responsible for supporting the analytical and data needs of all the functional areas within the NRG Home East organization.  The candidate must possess strong interpersonal and communications skills along with the ability to apply statistical rigor to data and uncover actionable insights.  The nature of the work leads to an environment of shifting priorities and requires the candidate to be able to adapt to change.  This position requires continual learning and skills development as well as a strong problem-solving base.  The position will report to the Manger, Customer Lifecycle Optimization.

 

Essential Duties/Responsibilities:

 

• Support the analytics needs of all the functional areas of NRG Home – East including but not limited to Sales, Marketing, Go-to Market, Operations, Pricing and Retention and our internal Analytics departments.
• Build, maintain, and collaborate on predictive models and/or financial forecast models using various methodologies.
• Apply statistical principles to assist in identifying proper control groups and post-campaign analysis.
• Contribute to results presentations with audiences of differing technical acumen in both presentations and dashboards.
• Follow established procedures and processes to perform routine analytical reporting or data mining.
• Anticipate stakeholders’ needs, operate with a sense of urgency in response to ad-hoc requests and adapt to changes quickly.
• Other duties as required.

 

Working Conditions:

 

• 100% Remote
• Some overtime required as special projects arise.

 

Minimum Requirements:

 

• A minimum of a bachelor’s degree is required in either a Business Intelligence (or related) or STEM (Science, Technology, Engineering, Mathematics) field.
• Experience with at least one analytical language: Python, R, SAS.
• Experience working with large data sets.
• Experience working in a cloud computing environment: Azure, GCP, AWS, etc.

 

Preferred Qualifications:

• Advanced degree or professional certification in an Analytical field is a plus.
• Experience working with and/or building machine learning/AI models.
• Experience working with coding collaboration tools such as GIT.

 

Additional Knowledge, Skills and Abilities:

 

• Must be able to collaborate efficiently and effectively with individuals and teams distributed across multiple locales.
• Familiarity with statistical testing techniques such as t-tests, chi-sq tests and calculation of confidence intervals of means.
• Familiarity with financial calculations (NPV, IRR, ROI, etc.) is a plus