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.
Office Locations and a Remote WorkforceEnergy 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.
