Energy Data Analyst

kWantera

$70K — $95K *
Energy & Utilities
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background in data analytics with basic statistical techniques.
  • Understanding of US energy markets through work experience or extensive coursework.
  • Proficiency in Python or equivalent programming language for data analysis.
  • Independent thinker with a strong sense of ownership.
  • Collaborative team player with communication skills.

Responsibilities

  • Act as a liaison between data science team and energy market.
  • Use data analysis to explore research questions from data science.
  • Evaluate market challenges and opportunities with solid statistics.
  • Analyze and provide feedback on product performance for improvements.
  • Support data-driven decision-making processes.

Benefits

  • Competitive salary and equity in the company.
  • 401(k) plan with matching contributions.
  • Unlimited vacation policy to promote work-life balance.
  • Comprehensive medical, dental, and vision coverage.
  • Modern office in Pittsburgh's Strip District with free parking.
Full Job Description
Job Description

We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the energy market. He/she will use data analysis techniques to find answers to research questions raised by data science team, will evaluate the challenges and opportunities in the market, backing the findings with solid statistics, and will evaluate and analyze our products' performance, providing insightful feedback for improvements, just to count a few of the responsibilities.

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background, preferably in Python. We are seeking independent and critical thinkers, who are good team players.

Qualifications
  • Strong background in data analytics. Must be familiar with basic statistical techniques and metrics, such as implementing and evaluating regression analysis, hypothesis testing, auto-correlation, probability distributions, graphical representations, as well as confusion matrices to evaluate accuracy, precision and error, etc. (Machine Learning background is a plus).
  • Strong understanding of energy markets in US (Previous work experience in the energy domain, or extensive coursework and projects in the area)
  • Familiarity with using Python for data analysis (or equivalent language).
  • A strong sense of ownership
  • A team player
  • Strong verbal and written communication skills


Additional Information

COMPENSATION

Very competitive salary, because you deserve it.

Equity in the company, to keep you motivated.

401(k) plan with matching, because we care about your future!

PERKS:

Unlimited vacation, we work hard and take time when we need it.

Medical, dental and vision coverage.

Fully stocked fridge, coffee, espresso and tons of snacks to keep us going.

Fantastic modern office space in Pittsburgh's Strip District with free parking.

Great office environment with exceptionally talented coworkers.

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