Sincerely Depends on the Group You Work In - Anonymous employee NRG Energy Employee Review

3.0
Aug 28, 2013
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

- Smartest people I have ever worked with - Good pay - Changing company in a strong industry - Can drive change in the organization

Cons

It really comes down to one thing ---- Zero work/life balance. Don't take the below comments as a 'rant', but as genuine honesty. I am a happy employee, but there is even so much I can take before I burn out and am forced to find a job elsewhere. Working weekends, and at an absolute minimum availability to work on the weekends, is expected. When you are on vacation/PTO you are expected to do work if needed (means your blackberry and laptop are always with you). This of course depends on the group you end up in, however any finance-related role other than trading.....good luck. - I know many people who have had at most 2 weekends completely off in the last 6 months. Its unfortunate because its a great company in every way except for one critical deficiency: "your personal live is secondary, and if you feel otherwise then get a new job" is the mentality. This overshadows employee morale. To be honest, and I am sure most employees at NRG feel this way, I wonder why I don't go into investment banking or management consulting. Like all NRG employees, I am definitely smart enough, work the same amount of hours, and despite the good pay I could make more elsewhere....food for thought, right?

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5.0
May 6, 2026
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Pros

There were no pros but just steady work.

Cons

The training was very helpful but intensive.

2.0
Jun 4, 2026
Recommend
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Pros

Opportunity to gain power markets experience. Many different departments, exposure to many different parts of the industry. Acceptable benefits and bonus compensation.

Cons

Expected to perform tasks, upskill in AI programming, or anything to further the interests of the group, outside of stated job responsibilities. Shifted from a 2-day in office work week to 4-day in office work week, with inconsistent expectations from all levels of management. Lackluster resources for data science, in comparison to industry peers. Mostly subscription-based resources, not many on-prem resources built correctly. Company's basic infrastructure for finance & accounting used for data science work. Bad network connectivity. Website or services crucial to projects, such as PJM Data Miner 2 are sometimes blocked or non-functional. Non-technical leaders oversee software projects with inflexible or unreasonable expectations.

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