Senior Data Analyst (Remote - US)
About The Position
Energy Solutions is seeking a Senior Data Analyst for its Operations team. The role turns complex data into insights that support business decisions, including revenue forecasting, profitability, operational planning, and strategic decision-making. The analyst leads analytics, business intelligence, reporting, and data-improvement initiatives by building and optimizing models, dashboards, queries, and processes. Working independently and with business leaders and data teams, the Senior Data Analyst anticipates analytical and data-quality needs, solves complex problems, and communicates actionable recommendations. The role also strengthens team analytics capabilities through mentoring, sharing best practices, and providing technical guidance. The position is described as remote in the US; Energy Solutions operates a predominantly remote workforce, with location and in-office requirements that may vary by team.
Requirements
- 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.
Responsibilities
- Manage complex data analysis and business intelligence workstreams supporting 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.
- Resolve complex analytical issues and escalate decisions requiring broader business or technical authority.
- Build dashboards, reports, and data visualizations that communicate findings to technical and nontechnical audiences.
- Manage analytical dependencies involving business teams, data engineers, and systems such as Salesforce and Workday.
- Mitigate data-quality and reporting risks through validation, investigation, documentation, and stakeholder coordination.
- Resolve data issues in accordance with data governance, security, documentation, and quality practices.
- Manage complex analytical requests involving multiple stakeholders, competing priorities, dependencies, or ambiguous business questions.
- Build reusable queries, reports, dashboards, analytical methods, documentation, and data-quality controls.
- Resolve recurring inefficiencies, reporting gaps, and data workflow issues.
- Manage approved analytical process improvements and automation opportunities within the defined scope of assigned work.
- Coach team members on SQL, Python, data visualization tools, and analytical methods.
- Review analytical work, queries, dashboards, reports, and recommendations, and provide constructive technical feedback.
Benefits
- Generous retirement package
- Medical insurance
- Dental insurance
- Vision insurance
- Other pre-tax contribution plans
- Employee Stock Ownership Plan (ESOP)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
