Data Analyst
Exelon is recognized as an industry leader with best-in-class operations, with utilities achieving top quartile or better performance in customer satisfaction, reduced outage frequency, and faster service restoration. This strong record of reliability and customer satisfaction is reinforced by substantial infrastructure investments across the fleet.
About the role
The Data Analyst role focuses on transforming large datasets generated by travel transactions, booking tools, and operational systems into actionable insights for internal teams and enterprise customers.
Data Analysts collaborate across departments—including Product, Sales, Marketing, Finance, and Customer Success—to build dashboards, reports, and analytics tools that help organizations optimize travel spending, booking behavior, and operational efficiency. This role plays a key part in building a data-driven culture across the company and its customers.
Some of the things you’ll do
- Collect, analyze, and interpret large datasets in order to identify trends, patterns, and actionable insights.
- Develop and maintain dashboards, reports, and data visualizations used by operational teams and leadership.
- Collaborate with product, engineering, marketing, and operations teams to support data-driven initiatives and decision-making.
- Monitor key performance indicators and business metrics to identify opportunities for optimization and improvement.
- Perform ad-hoc analyses to support strategic initiatives, operational planning, and executive reporting.
- Assist in the development and maintenance of data pipelines, data models, and reporting infrastructure.
- Ensure the accuracy, consistency, and integrity of data used for business reporting.
- Present analytical findings to stakeholders in clear and actionable formats.
- Support experimentation, testing, and performance measurement initiatives across the organization.
- Maintain documentation for data definitions, analytical methodologies, and reporting frameworks.
Requirements
- Degree in Data Science, Analytics, Computer Science, or related field.
- 2 years of experience in data analytics or business intelligence.
- Strong SQL, data visualization, and statistical analysis skills.
- Experience with BI tools such as Tableau, Looker, or Power BI.
- Ability to translate data insights into business recommendations.
Benefits & Compensation
- Competitive health benefits and insurance coverage.
- 401(k) with company match.
- Flexible PTO and holidays.
- Technology stipend and wellness benefits.
