Data Validation Analyst I

Yes Energy•Glendora, CA

21h•$23 - $29•Hybrid

About The Position

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary As a Data Validation Analyst I, you will assist in monitoring, analyzing, and improving data quality across various systems and processes. You will work closely with data engineers, customer support, and other stakeholders to ensure data accuracy, completeness, consistency, and reliability for our customers. We are curious people who take pride in our work, value high-quality communication, and strive to improve continuously.

Requirements

1+ years experience working with structured datasets or operational data processes
Ability to work Pacific Time business hours
Excellent attention to detail, problem-solving skills, and ability to manage multiple priorities.
Strong communication skills with the ability to explain technical findings to non-technical stakeholders.
Strong analytical skills
Interest in developing customer-facing skills
Applicants must be authorized to work in the United States without visa sponsorship.

Nice To Haves

Bachelor's degree preferred (Economics, Computer Science, Math, and Engineering are preferred), or equivalent experience
Experience with data quality assurance tools or methodologies
Programming experience (SQL preferred)
Familiarity with energy market data sources and industry-specific datasets
Experience data visualization tools (e.g., Tableau, Power BI)

Responsibilities

Assist in identifying, analyzing, and resolving data quality issues across datasets and databases.
Conduct daily data audits and validation checks to ensure data integrity and consistency.
Collaborate with cross-functional teams to understand data flows and business requirements.
Document data quality issues and escalate to data engineers to resolve Assist with root cause analysis of data issues and contribute to continuous improvement efforts.
Other duties and projects may be assigned.