Intern, Data Analyst (Winter / Spring)

About EVgo:

EVgo (Nasdaq: EVGO) is one of the nation’s largest public fast charging networks for electric vehicles. Our mission is to expedite the mass adoption of electric vehicles (EVs) by creating a convenient, reliable, and affordable EV charging network that delivers fast charging to everyone. EVgo’s owned and operated charging network is growing rapidly. We partner with multiple stakeholders including automakers; fleet and rideshare operators; retail hosts such as grocery stores, shopping centers, restaurants, gas stations, and more to make our vision of Electric for All a reality. The EV industry is one of the fastest growing industries in the country. Join us as we charge forward into an all-electric future. Software is an integral part in realizing this vision and we are hiring a software manager to play a leadership role shaping our future.

Why Intern for EVgo?

An internship at EVgo offers meaningful real world experience while contributing to a mission that is shaping the future of clean transportation. As one of the nation’s leading public fast charging networks EVgo operates at the intersection of technology sustainability and business innovation giving interns exposure to impactful work that supports a growing public company. Interns are treated as valued team members with opportunities to collaborate across teams take ownership of projects and gain hands on experience while developing skills through mentorship and professional growth.

Intern Position Summary:

EVgo is seeking a curious and motivated Data Analyst Intern to help identify and solve challenges across our EV charging network using data and analytics. In this role you will support the Data Science R and D team by analyzing data reporting issues and contributing to improvements in our analytic tools and systems. You will gain hands on experience working with real world datasets while learning how data is used to support operations hardware and software teams across the company.

As a Data Analyst Intern you will assist with data exploration basic experimentation statistical analysis and data visualization to help monitor charger performance and uncover trends. You will also help support and learn about automated solutions that enable ongoing network monitoring and reliability. This internship offers the opportunity to collaborate with experienced data scientists engineers and cross functional partners while building technical skills and developing a deeper understanding of how analytics supports a fast growing clean energy company.

Responsibilities:

• As a Data Analyst, you will be responsible for:
• Data Wrangling – assemble data from various sources and formats into a single set suitable for analysis
• Visualization – create and curate charts and graphics that reveal useful insights
• Monitoring & Troubleshooting – identify, manage, and solve technical/engineering problems that you identify using data systems and analytics
• Industry Knowledge – learn the technical details of the EV charging business and its sources of data
• Reporting Progress – communicate to others on your progress, obstacles, and learnings
• As a member of the Data Science team, you will work with team leadership on:
• Project Selection – propose and promote projects that will answer important questions, support strategic decisions, or optimize control of automated systems
• Data Exploration – analyze existing data sets to help answer questions and develop hypotheses
• Communication – document methods and results concisely to present to colleagues
• Maintaining Expertise – identify and understand new data sources and analytic innovations that would benefit EVgo and its customers.

Required Skills and Experience:

• On track to graduate with BS in Engineering or Data Science related field including Electrical Engineering, Mechanical Engineering, Computer Science, Statistics, or similar

Desired Qualifications:

• Basic proficiency in scripting with SQL and Python
• Applies analytic techniques for data exploration, data visualization, linear regression, categorical models.
• Works independently with little oversight, but also knows when to ask for guidance
• Enjoys resolving technical problems with team members

The hourly pay for this position is $25.00/hour- $27.00/ hour USD. The hourly pay may vary depending on job-related factors, including education, knowledge, skills, and experience.