Intern – People Analytics & AI (HR Data Systems)

Remote
Internship
Student (College)
Company Overview
esVolta, LP is a leading developer, owner and operator of utility-scale energy storage projects across North America. We are at the forefront of the fast-growing battery energy storage market, and our projects are helping to transition the nation’s electric grid to a cleaner and more reliable future. Our storage projects provide major utilities with a multitude of important services including reliable fast-ramping capacity, energy and ancillary grid services including renewable energy integration support.

esVolta is independently owned, and we are among the largest players in the US energy storage sector with about 1.5 GWh of projects in operation or construction, and a 20+ GWh development pipeline.

We are headquartered in Newport Beach, California, with employees in multiple regions across the U.S. Our diverse management team has many decades of experience in the renewable energy, utility, and independent power sectors. esVolta is an innovative industry leader in development, design, construction, financing, and management of utility scale energy storage projects.

At esVolta, every employee makes an impact on the company’s growth and profitability, every day. We have a fast-paced, high-performance and team-oriented culture. We value quality of life and flexibility for our employees and strive to help our team members achieve their career goals.

About The Role
We are seeking technically strong, analytically curious individuals to join us for a 12-week summer internship within our Human Resources department. The intern will help modernize and automate our HR data infrastructure.


This is not a traditional HR internship. The selected candidate will work directly with the SVP of Human Resources to build the foundational analytics and reporting systems that support executive decision-making, workforce planning, and organizational strategy. The primary focus of this internship is to transform raw HR and recruiting data into clean, structured datasets and executive-ready dashboards using modern analytics and AI tools. This internship is designed to build esVolta’s first fully integrated, executive-ready HR analytics infrastructure.

By the end of the internship, the selected candidate will have:
  • Built an automated data ingestion process from Insperity (PEO) and JazzHR (ATS)
  • Developed a structured HR master dataset
  • Designed and launched an executive-ready Workforce Intelligence Dashboard
  • Created documentation to support ongoing automation and scalability

Core Responsibilities
Data Integration & Automation
  • Audit available workforce and recruiting data within Insperity and JazzHR.
  • Design repeatable export or API-based data ingestion processes.
  • Automate recurring HR reporting workflows.
  • Reduce manual spreadsheet-based reporting.
Data Modeling & Structuring
  • Clean and normalize workforce and recruiting datasets.
  • Create standardized data models for consistent reporting.
  • Define KPI calculations and metric logic.
  • Build a structured HR data framework for future scalability.
Dashboard Development
  • Build a Workforce Intelligence Dashboard using Power BI, Tableau, Looker Studio, or similar tools.
  • Develop clear, executive-level visualizations covering:
    • Headcount and growth trends
    • Attrition and new hire turnover
    • Time-to-fill and recruiting funnel metrics
    • Open requisition aging
    • Workforce distribution and compensation trends
    • Implement clear red/yellow/green indicators for operational visibility
AI & Applied Analytics
  • Explore AI tools to assist with data transformation, automation, and summarization.
  • Recommend opportunities to streamline reporting using generative AI.
  • Identify opportunities for predictive or trend-based workforce insights.
Insights & Presentation
  • Translate workforce data into actionable insights.
  • Identify trends, risks, and opportunities.
  • Present findings and final deliverable to HR leadership.

Who You Are
  • Currently pursuing a degree in Data Science, Business Analytics, Management Information Systems, Computer Science, Statistics, or a related technical field.
  • Strong Excel skills (pivot tables, formulas, data cleaning).
  • Experience working with structured datasets.
  • Experience with Power BI, Tableau, Looker Studio, or similar visualization tools preferred.
  • Familiarity with SQL and/or Python preferred.
  • Experience working with APIs or automated workflows is a plus.
  • Comfortable experimenting with AI tools for workflow automation.
  • Strong analytical and problem-solving skills.
  • High level of discretion when handling confidential data.
  • Self-directed, proactive, and execution oriented.
  • Prior HR experience is not required.

Compensation, Location & Benefits
The hourly rate for this position is listed below. The actual hourly rate offered will depend on the specific skills and experience of the selected candidate.

 
$30.00 per hour40-hour work week

Flexible; option to work-from-home with periodic office visits for in-person engagement or to work from company offices in Newport Beach. Willingness to be remotely based and ability to travel to company offices and project sites.
  • Paid Sick Days as required by law: one hour per 30 hours worked, up to 5 days maximum.
  • July 4th Paid Holiday
  • Medical, dental and vision care benefits.
  • 401k program offering a 100% company match on employee contributions up to 6.0% of salary on a per paycheck basis. (The 401k program and the company match are subject to applicable limitations including IRS requirements and 401k plan policies.)

esVolta is an Equal Opportunity Employer.
We celebrate all forms of diversity and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, we encourage you to apply. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.

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