Senior Data Analyst (Remote - US)

Posted 5 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
105K-130K Annually
Senior level
Consulting • Energy • Renewable Energy
Tomorrow's Solutions Today.
The Role
Leads complex data analysis and business intelligence initiatives supporting revenue forecasting, profitability, operational planning, and business performance. Builds analytical models, queries, dashboards, reports, and data workflows using SQL and Python. Resolves data-quality issues, improves processes, communicates actionable insights, and coordinates with business and technical teams. Mentors analysts, reviews analytical work, and provides technical guidance on data visualization and analytical methods.
Summary Generated by Built In

Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.

Energy Solutions is currently seeking a Senior Data Analyst for our Operations team. In this role, you will turn complex data into insights that drive meaningful business decisions. You’ll lead challenging analytics, business intelligence, reporting, and data improvement initiatives, building and optimizing models, dashboards, queries, and processes that support revenue forecasting, profitability, operational planning, and strategic decision-making. 

Working independently and in partnership with business leaders and data teams, you’ll anticipate analytical and data-quality needs, solve complex problems, and communicate clear, actionable recommendations. You’ll also help strengthen the team’s analytics capabilities by mentoring analysts, sharing best practices, and providing technical guidance. 

  

Responsibilities include but are not limited to:  

  • Manage complex data analysis and business intelligence workstreams within assigned areas that support revenue forecasting, profitability review, operational planning, and business performance evaluation 
  • Build analytical models, queries, and data sets using SQL, Python, and other approved analytical tools to address complex business questions within assigned workstreams 
  • Resolve complex analytical issues within assigned workstreams and escalate decisions requiring broader business or technical authority 
  • Build dashboards, reports, and data visualizations that communicate complex analytical findings to technical and nontechnical audiences within assigned areas 
  • Manage analytical dependencies involving business teams, data engineers, and systems such as Salesforce and Workday within assigned workstreams 
  • Mitigate identified data-quality and reporting risks through validation, investigation, documentation, and coordination with appropriate stakeholders 
  • Resolve complex data issues within assigned areas in line with data governance, security, documentation, and quality practices 
  • Manage complex analytical requests within assigned areas involving multiple stakeholders, competing priorities, dependencies, or ambiguous business questions 
  • Build reusable queries, reports, dashboards, analytical methods, documentation, and data-quality controls within assigned areas 
  • Resolve recurring inefficiencies, reporting gaps, and data workflow issues within assigned areas 
  • Manage implementation of approved analytical process improvements and automation opportunities within the defined scope of assigned work 
  • Coach team members on the practical application of SQL, Python, data visualization tools, and analytical methods 
  • Review analytical work, queries, dashboards, reports, and recommendations and provide constructive technical feedback 

   

Minimum Qualifications: (Quantifiable Skills i.e Years of experience)  

  • Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, Business, Economics, or a related field, or equivalent relevant experience 
  • 8 years of experience in data analytics, business intelligence, statistical analysis, data modeling, reporting, or a related field 
  • Experience managing complex data analysis or business intelligence workstreams involving multiple stakeholders and data sources 
  • Experience building and optimizing dashboards, reports, analytical models, queries, and data workflows 
  • Experience translating complex analytical findings into clear business insights and recommendations 
  • Experience mentoring analysts or providing technical guidance and review 
  • Experience collaborating with business stakeholders and data engineering or technical teams 

    

The salary range for this role is $105,000 - $130,000, with a target compensation of $105,000 - $123,500 based on experience and qualifications.  

Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

AI Use

At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one’s own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.

Office Locations and a Remote Workforce

Energy Solutions operates as a predominantly remote workforce with offices in  six different locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in the following states: Delaware, Kentucky, Mississippi, Montana, Nebraska, and North Dakota.

Background Check Information

Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.

Reasonable Accommodations 

Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected].

Privacy Notice for Job Applicants 



Skills Required

  • Bachelor's degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, Business, Economics, or a related field, or equivalent relevant experience
  • 8 years of experience in data analytics, business intelligence, statistical analysis, data modeling, reporting, or a related field
  • Experience managing complex data analysis or business intelligence workstreams involving multiple stakeholders and data sources
  • Experience building and optimizing dashboards, reports, analytical models, queries, and data workflows
  • Experience translating complex analytical findings into clear business insights and recommendations
  • Experience mentoring analysts or providing technical guidance and review
  • Experience collaborating with business stakeholders and data engineering or technical teams

Energy Solutions Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Energy Solutions and has not been reviewed or approved by Energy Solutions.

  • Retirement Support — A 401(k) with a company match that vests immediately is prominently offered. Feedback suggests this provides meaningful long‑term security as part of total compensation.
  • Equity Value & Accessibility — An Employee Stock Ownership Plan (ESOP) provides ownership participation that can augment total rewards. Company materials position the ESOP as a notable upside alongside base pay and bonuses.
  • Healthcare Strength — Medical (PPO/HMO), dental, and vision plans are paired with FSAs/HSAs, company‑paid life/AD&D, long‑term disability, and a 24/7 EAP. Plan guides and options by region indicate a broad, well‑rounded health offering.

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The Company
HQ: Oakland, CA
550 Employees
Year Founded: 1995

What We Do

Our mission is simple -- to combat climate change through market-based, cost-effective energy, carbon, and water management solutions that make big impacts. For over 25 years we’ve been pioneering end-to-end, market-driven solutions that deliver reliable, large-scale and cost-effective energy savings and carbon reduction to our utility, government, and private sector clients across North America.

Why Work With Us

We are a mission-led, employee-owned clean energy and carbon reduction implementation firm whose team of smart, passionate people are committed to excellence and building long-lasting, trusted relationships with our clients

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