Description

About Ava Community Energy

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.

Position Details

Essential Duties and Responsibilities

Analytics, Data Mining & Dashboard Development

• 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.

Data Quality & Governance

• 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

Minimum Qualifications

• 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.

Compensation

The position is compensated at $35 per hour for 16 hours per week, for an estimated total compensation of approximately $13,440 over the duration of the internship.

Location and Working Conditions

Ava's headquarters is located in Oakland, near BART. The team operates in a hybrid environment that includes both in-office and remote work. For this role, we are open to either a hybrid or fully remote arrangement. Only applicants that reside in California will be considered.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Ava is dedicated to reasonably accommodate an applicant for known physical or mental disabilities so that the applicant may participate in the application process. We will engage in a timely, good-faith interactive process with any employee with a known physical or mental disability to identify potential reasonable accommodations, if any, to enable the employee to perform the essential functions of their position.

• General office environment is primarily sedentary work which requires the following physical activities: standing, sitting, walking, reaching, lifting, finger dexterity, grasping, repetitive motions, talking, hearing and visual acuity.
• The employee must occasionally lift and/or move up to 10 pounds.
• The noise level is usually moderate.

Licenses/Certificates

Possession and continued maintenance of a valid class C California driver's license or the ability to provide alternate transportation and a safe driving record.

Working at Ava Community Energy

Ava is committed to complying with applicable laws, including the Americans with Disability Act and Fair Employment and Housing Act, ensuring equal employment opportunities to qualified individuals with a disability. Ava prohibits unlawful discrimination based on age, sex or gender (including pregnancy, childbirth, breastfeeding or related medical conditions), genetic information or characteristics, gender identity, gender expression, race, color, ancestry, national origin, religion, creed, marital status, military or veteran status, sexual orientation, physical or mental disability, medical condition, or on any other basis prohibited by federal, state, or local laws.

The information contained herein has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The information also does not constitute either an expressed or implied contract, and these provisions are subject to change.

PI281066966