Senior Data Analyst (Remote - US)

Energy Solutions
United States
Remote

Who this role is best for

Best suited to candidates with 8+ years of experience in data analytics and business intelligence working in the energy and sustainability domain.

Best fit for

  • Candidates with 8+ years of experience in data analytics and business intelligence who can mentor junior analysts
    — “Experience mentoring analysts or providing technical guidance and review”
  • Professionals skilled in building dashboards and models using SQL, Python, and tools like Salesforce and Workday
    — “Build analytical models, queries, and data sets using SQL, Python, and other approved analytical tools”

Things to consider

  • Potential in-office attendance for those within 40 miles of an office (excluding New York)
    — “Employees who reside within 40 miles of an office (except New York) will be assigned to that location”
  • Compensation is tied to experience, with a defined salary range of $105,000 - $130,000
    — “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”

How to stand out

  • Highlight experience in translating data into actionable business insights for sustainability or energy-related projects
    — “Experience translating complex analytical findings into clear business insights and recommendations”
  • Showcase leadership in managing analytical workstreams with cross-functional teams
    — “Experience managing complex data analysis or business intelligence workstreams involving multiple stakeholders and data sources”
  • Demonstrate skills in building reusable dashboards, queries, and data-quality controls
    — “Build reusable queries, reports, dashboards, analytical methods, documentation, and data-quality controls within assigned areas”
  • Emphasize collaboration with data engineers and systems like Salesforce and Workday
    — “Experience collaborating with business stakeholders and data engineering or technical teams”
  • Demonstrate problem-solving in data governance, security, and quality practices
    — “Resolve complex data issues within assigned areas in line with data governance, security, documentation, and quality practices”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and optimized models, queries, and processes that support revenue forecasting and profitability
  • Built dashboards and reports that communicate complex analytical findings to technical and non-technical audiences
Typical background
Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, Business, Economics, or a related field8+ years of experience in data analytics

Skills & requirements

Required

SQLPythonData VisualizationBusiness IntelligenceData ModelingData Quality Management

Preferred

Machine LearningBig Data Technologies

Stack & domain

SQLPython

About the role

Original posting from Energy Solutions via Greenhouse

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 accommodation@energy-solution.com.

Privacy Notice for Job Applicants 

Source: Energy Solutions careers (Greenhouse)

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