Statistician

Job Title: Statistician

Overview:

We are seeking a data-driven Statistician 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:

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  Analyze solar project flow, customer data, and operational efficiency using statistical methods such as:

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    Bayesian inference

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    Distribution modeling

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    Descriptive and inferential statistics

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  Write and explain complex SQL queries to extract, join, filter, and manipulate large datasets.

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  Develop forecasts, trend analyses, and performance reports for internal decision-makers.

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  Collaborate with engineering, product, and operations teams to support data-informed strategies.

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  Perform data validation and ensure accuracy, consistency, and completeness in reporting.

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  Translate statistical outputs into clear, actionable recommendations for business stakeholders.

Minimum Qualifications:

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  Bachelor’s or Master’s degree in:

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    Statistics

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    Data Science

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    Industrial Engineering & Operations Research (IEOR)

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    Or a related quantitative field

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  3+ years of experience in a statistical or data analyst role

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  Strong SQL proficiency – ability to write and explain optimized queries

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  Effective communicator with strong data visualization skills (e.g., Excel, BI tools)

Preferred Qualifications:

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  Experience in scripting with Python or R

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  Familiarity with solar, renewable energy, or utility sector data

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  Exposure to tools such as Power BI, Tableau, or Looker

Soft Skills:

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  Analytical mindset with a passion for solving complex problems

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  Strong collaboration skills across technical and non-technical teams

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  Self-starter with a proactive approach to data challenges