Data Associate
Energy Solutions - USA
| Company | Energy Solutions - USA |
| Category | Data & Analytics |
| Location | Boston |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 7 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 hiring for a Data Associate that will be responsible for supporting many revenue and resource planning processes, including 5-year forecasts, revenue/consultant, G&A/consultant ratio, and utilization. This position will support data analysis initiatives with moderate supervision, executing tasks from initial data requests through presenting findings and insights.
In this role, the Data Associate works closely with other analysts and cross-functional teams to gather, clean, and process data from various sources, improving established procedures for analysis and insights, supporting business decisions, and optimizing reporting processes.
This opportunity is great for someone with strong analytical skills, effective communication abilities, the ability to learn complicated operational processes, and the capability to manage multiple projects simultaneously.
Daily Responsibilities:
Gather data from various sources (e.g., enterprise resource planning system, human resource information system, project management systems) and integrate this data to create comprehensive datasets for analysis
Clean, validate, and prepare datasets to ensure data accuracy, consistency, and usability
Maintain organized datasets and supporting documentation while identifying and escalating data quality issues.
Analyze data using established analytical methods to identify trends, patterns, and operational insights
Support forecasting, resource planning, utilization reporting, budgeting, and operational analysis activities
Prepare summaries, recommendations, and supporting materials that communicate analytical findings for stakeholders
Develop, update, and maintain reports, dashboards, and visualizations that support business decision-making
Prepare presentation materials, reporting packages, and data outputs for leadership and cross-functional teams
Support planning and forecasting processes by reviewing data, assumptions, and reporting deliverables
Conduct and support QA/QC activities to ensure data quality, reporting accuracy, and analytical integrity
Apply established data governance standards, security requirements, and documentation practices
Document and maintain data sources, methodologies, assumptions, and processes to support consistency and repeatability
Collaborate with analysts and business partners to gather requirements and support data-driven initiatives
Own assigned analytics project deliverables by documenting requirements, tracking action items, and completing assignments
Communicate project progress, analytical findings, and data-related issues to stakeholders as appropriate
Identify and support reporting, data management, and analytical workflows
Contribute to and support process improvement initiatives that enhance reporting efficiency and data quality
Review and maintain operational policies, procedures, and data-related documentation
Minimum Qualifications:
Bachelor’s degree in business, Computer Science, Mathematics, Statistics, Engineering or other related field or equivalent work experience
Foundational knowledge of data analytics principles, statistical methods, and analytical problem-solving techniques
Intermediate proficiency with Microsoft Excel
Basic knowledge or familiarity of SQL, Python or other database querying langu
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