to support advanced analytics in the solar energy sector. This role requires extracting and analyzing large datasets using SQL, applying advanced statistical techniques to assess project performance and customer behavior, and generating actionable insights to optimize operational efficiency. Ideal candidates will have a strong statistical background and domain experience with energy or engineering data.
Essential Duties & Responsibilities:
Analyze solar project flow, customer data, and operational efficiency using statistical methods such as:
+
Bayesian inference
+
Distribution modeling
+
Descriptive and inferential statistics
Write and explain complex
SQL queries
to extract, join, filter, and manipulate large datasets.
Develop
forecasts, trend analyses, and performance reports
for internal decision-makers.
Collaborate with engineering, product, and operations teams to support
data-informed strategies
.
Perform
data validation
and ensure accuracy, consistency, and completeness in reporting.
Translate statistical outputs into clear, actionable recommendations for business stakeholders.
Minimum Qualifications:
Bachelor's or Master's degree in:
+
Statistics
+
Data Science
+
Industrial Engineering & Operations Research (IEOR)
+ Or a related quantitative field
3+ years of experience
in a statistical or data analyst role
Strong
SQL proficiency
- ability to write and explain optimized queries
Effective communicator with strong
data visualization skills
(e.g., Excel, BI tools)
Preferred Qualifications:
Experience in scripting with
Python
or
R
Familiarity with solar, renewable energy, or utility sector data
Exposure to tools such as Power BI, Tableau, or Looker
Soft Skills:
Analytical mindset with a passion for solving complex problems
Strong collaboration skills across technical and non-technical teams
* Self-starter with a proactive approach to data challenges
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