Job Description

Title: Analyst, Data Analytics

Location: Princeton, NJ, US, 08540

As an NRG employee, we encourage you to think creatively and proactively about your career choices. Our work environment is dynamic and the career opportunities across our businesses offer variety and challenge. Providing career growth to our own employees is critical to our ongoing success–take charge of your career goals and empower your future!

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 role will be highly visible and work with a wide range of reporting levels. 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 stakeholder’s 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 a least one analytical language: Python, R, SAS
  • Experience working with large data sets.
  • Experience with SQL queries, including knowledge of relational databases and joins.

Preferred Qualifications:

  • Advanced degree or professional certification in an Analytical field is a plus.

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.
  • Dashboarding experience is a plus (Power BI, Tableau, Spotfire, Dash, etc.)
  • Familiarity with financial calculations (NPV, IRR, ROI, etc.) is a plus.
  • Ability to manage heavy workload and shifting priorities.
  • Self-starter with an inquisitive mindset and an interest in understanding the ‘why’ of actions.

Physical Requirements:

  • N/A