Loop Global is hiring: Senior Data Analyst in Avondale

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Loop is redefining the future of EV charging. Backed by Fifth Wall and Agility, we’ve rapidly grown into one of the fastest-expanding networks in the U.S., deploying more than 7,500 chargers since our launch in 2019. We’re not just building infrastructure - we’re driving the shift toward a smarter, cleaner, and more connected transportation future.

Responsibilities

• Analyze large and diverse data sets from EV charging stations, vehicles, customers, and grid systems.
• Work with Operations team to establish SLAs and KPIs for network performance, troubleshooting response times, and uptime reliability.
• Develop dashboards and reports to track SLAs and KPIs such as charger utilization, uptime, energy delivered, and customer wait times.
• Generate automated reporting for Rebate Programs, Compliance Reporting, Financial reporting and customer insights.
• Collaborate with Product, Operations, and Finance teams to deliver actionable insights.
• Build forecasting models to support charger demand planning and infrastructure expansion.
• Work with Operations team to root operational inefficiencies, outages, or customer dissatisfaction using data.
• Translate technical findings into clear recommendations for both technical and non-technical stakeholders.
• Design and maintain robust data pipelines, ensuring data quality, consistency, and availability.
  
  

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 8+ years of experience in data analysis, preferably in energy, mobility, transportation, or infrastructure.
• Proficiency in SQL, Python, Java, and data visualization tools (Tableau, PowerBI, etc.)
• Experience working with large-scale data in cloud platforms
• Strong communication and storytelling skills – ability to present insights clearly and influence decisions.
  
  

Preferred Qualifications

• Familiarity with the Electric Vehicle space, EV Charging Ecosystems, or Utility data.
• Background in time-series or operational data analysis.
• Advanced degree (MS/PhD) in a quantitative field is a plus.
  
  

The Pay Range For This Role Is

70,000 - 130,000 USD per year (HQ)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Renewable Energy Semiconductor Manufacturing

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