About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Business Consulting and Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

Role overview

Confidential Client is seeking a Junior Energy Data Analyst to support consulting engagements focused on demand-side management (DSM), distributed energy resources, electrification, energy efficiency, decarbonization, and related topics. This entry-level role is ideal for candidates with a foundation in statistics, economics, or data analysis who want to apply quantitative skills to energy and sustainability challenges.

---

What You’ll Do

You will work with senior staff to analyze data, build models, and produce insights that inform utility, government, and corporate clients. Typical responsibilities include:

• Assist with data collection, cleaning, and validation from multiple sources (metering, system models, surveys).
• Run statistical and econometric analyses to estimate energy savings, load impacts, or behavioral responses.
• Support demand-side management (DSM) evaluations, energy efficiency studies, and demand response analyses.
• Prepare charts, tables, and written summaries for reports and client presentations.
• Contribute to development of forecasting and evaluation models (time-series, regression, experimental/quasi-experimental designs).
• Collaborate with cross-functional teams to ensure analyses meet technical and client requirements.
• Maintain documentation of methods, assumptions, and data sources.

---

Qualifications (Required)

Candidates should be able to demonstrate:

• Bachelor’s degree in economics, statistics, data science, engineering, environmental science, or a related field.
• Hands-on experience with data analysis using tools such as Python, R, SQL, or similar.
• Strong foundation in statistical methods (regression, time-series, hypothesis testing).
• Attention to detail in data cleaning, documentation, and reproducible analysis.
• Clear written and verbal communication skills for technical and non-technical audiences.
• Authorization to work in the United States.

---

Preferred / Nice-to-Have Skills

• Familiarity with demand-side management (DSM), energy efficiency evaluation, or utility programs.
• Experience with energy modeling, load forecasting, or experimental program evaluation.
• Knowledge of data visualization tools (Tableau, Power BI, matplotlib/ggplot).
• Coursework or experience in econometrics, causal inference, or machine learning applied to time-series data.
• Interest in policy, decarbonization, or sustainability initiatives.

---

Employment details & location

• Employment type: FULL_TIME
• Location: New York, NY (on-site or hybrid as specified by the confidential client for this opening)
• This posting follows applicable US hiring laws for the state of New York. Applicants must be authorized to work in the U.S. — sponsorship is disclosed per-client during interview if applicable.

---

Why join (candidate benefits)

• Work on impactful projects with utilities, government agencies, and private-sector clients.
• Professional development with mentorship from senior analysts and subject-matter experts.
• Competitive benefits and opportunities for growth at a consulting organization focused on energy and sustainability.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.