Data and Analytics Intern

The Philadelphia Gas Works (PGW) is the largest municipally-owned gas utility in the nation, supplying gas service in the City of Philadelphia to over 500,000 customers.  From its humble beginnings in 1836, PGW has grown into the large, modern facility that exists today.  As one of the nation's leading natural gas providers, PGW prides itself on stability and continual growth.  PGW is dedicated to becoming the Greenest Natural Gas Delivery Company in the region.

We are seeking a highly motivated, analytically minded Data & Analytics Intern to help work on data and analytics requests and projects as well as perform other duties as required. This is a great opportunity for student to gain work experience and business knowledge, learn and apply data and analytics tools and techniques to support business decision-making, and contribute to the success of the team.

• →Develop, maintain, and enhance dashboards, reports, and performance metrics.
• →Assist with data collection, cleaning, validation, and integration from multiple sources.
• →Improve the accessibility, consistency, and usability of business reporting.

• →Evaluate data quality and identify opportunities to improve accuracy and consistency.
• →Document data and analytics processes, methodologies, and reporting requirements.
• →Help automate recurring reports and streamline data and analytics workflows.

• Currently enrolled in a graduate program, preferably an MBA, MS in Business Analytics, Data Science, Statistics, Computer Science, Finance, or a related quantitative discipline.

• Ideally 1+ years of professional work experience following undergraduate graduation.
• Prior experience or school study in analytics, finance, operations, technology, or other analytical or business areas.
• Effective communication and writing skills.

• Proficiency in Microsoft 365, especially Excel and PowerPoint.
• Knowledge or experience with SQL and querying relational databases.
• Knowledge or experience with data visualization tools such as Tableau, Power BI.
• Experience with Python, R, or other programming languages is a plus.