Distributed Energy Resources Analytics Intern

Ava Community EnergyOakland, CA
2d$35 - $35Hybrid

About The Position

Ava Community Energy (Ava) is a Joint Powers Authority comprising Alameda County and its incorporated areas, and the cities of Lathrop, Stockton, and Tracy. Ava’s charter is to provide its customers with low carbon, cost-effective electricity that integrates innovative energy products and maximizes local benefits through the development of local solutions, ranging from increasing access to rooftop solar to supporting the adoption of electric vehicles. Culture and Commitment to Diversity Ava believes in a vibrant culture that supports and nurtures a workplace that offers every individual the opportunity to attain professional goals and contribute to accomplishing our mission. We foster a culture of open communication, responsibility, curiosity, accountability, and teamwork. We want creative problem solvers that are excited to work in an entrepreneurial environment and grow our organization! As an equal opportunity employer, we are committed to diversity, equity, and inclusion. We are committed to a diverse and inclusive workforce that is reflective of our service area’s rich culture and communities. We welcome a diversity of experiences, perspectives, and skills. We strongly encourage people of all characteristics to apply and prohibit unlawful discrimination and harassment of any type based on age, religion, color, gender identity or expression, race, ancestry, or national origin, religion or creed, marital status, military or veteran status, sexual orientation, genetic information or characteristics, and those with a disability as protected by federal, state and local laws. Position Summary Ava is seeking to hire a part-time Distributed Energy Resources ( DER) Analytics Intern to join our growing Analytics team, reporting to the Senior Manager of Analytics and Machine Learning. This role is ideal for someone excited about working with distributed energy resource (DER) data, supporting program operations, data science, and building scalable analytics pipelines. The Intern will collaborate cross-functionally with Engineering, Analytics and Salesforce, and Local Development to support Ava’s portfolio of DER programs, including managed smart home charging, EV charging infrastructure (Ava Charge), smart home battery and eBikes. This is a paid, part-time internship scheduled for two days per week (16 hours total). The internship is expected to begin in January 2026 and continue through June 2026.

Requirements

  • Bachelor's degree in Statistics, Engineering, Computer Science or a related data / analytics-intensive field.
  • Hands-on experience in data intensive work.
  • Proficiency in Python and SQL (BigQuery experience preferred).
  • Based in California.

Responsibilities

  • Conduct exploratory data analysis (EDA), data mining, and statistical assessments on DER datasets including Gridshare smarthome charging and battery API data, AMI data, EV charging behavior, program participation trends, and invoice verification.
  • Use existing data pipelines and curated datasets in BigQuery to develop insights that improve DER program performance, customer engagement, and operational efficiency.
  • Build clear, reliable, and user-friendly dashboards and reporting products that translate complex data into actionable insights for stakeholders within EAS and the Local Development teams related to smart home battery and charging, Ava Charge and eBike.
  • Collaborate with analysts and engineers to validate data definitions, refine metrics, and ensure consistency across dashboards and analytics tools.
  • Communicate insights through visualizations, presentations, and written summaries that inform strategy and decision-making across Ava.
  • Continuously evaluate existing analytics workflows and identify opportunities to streamline, automate, and enhance reporting using established GCP infrastructure.
  • Establish and uphold data governance, quality checks, and metadata tracking for DER datasets.
  • Contribute to documentation and internal standards that ensure consistency across analytics workflows.
  • Other duties as required
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