Operations Data Analyst

Operations Data Analyst

Location: Oakland, CA (Hybrid, 2-3 days per week on-site)
Duration: October 12, 2026 to December 31, 2026

Note: Local candidates only.

About the Role

We're seeking an Operations Data Analyst to manage routine data analysis projects from initial request through final presentation of results, working with limited supervision. You'll turn complex data into clear, actionable insights for business and leadership audiences.

Responsibilities

• Manage standard, routine data analysis projects with limited supervision, delivering on time and within budget.
• Work with other data management analysts to process and analyze data and report findings.
• Create automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and cleansing.
• Manage standard data extracts and list pulls, and transfer data from databases to analysts in support of operational analysis.
• Apply statistical tools and data processing techniques to develop ad hoc reports, statistics, trends, and profiles.
• Develop and communicate clear, concise, and actionable data analyses for stakeholders.
• Support dashboards and reporting, data governance, records management, audit-ready documentation, tracker accuracy, trend and root cause analysis, folder structures, data logging taxonomy, and logging automation.

Required Qualifications

• BA/BS in Marketing, Business, Computer Science, Engineering, or a related field, or equivalent work experience.
• 2+ years of related work experience.
• Strong technical analytics and BI skills, especially Power BI, Power Apps/Power Platform, SQL, and data modeling.
• Strong analytical judgment and problem-solving: able to work through complex data, validate analysis, and identify risks and issues.
• Ability to communicate technical findings to business and leadership audiences.

Preferred Skills

• Familiarity with utility operations; utility, operations, compliance, or risk experience is a plus.
• Advanced Microsoft Excel/Access (complex formulas, graphing, VBA).
• SQL queries using Oracle or Business Objects.
• Dashboard development in Power BI.
• Developing and reporting metrics and KPIs.
• UNIX shell programming (csh, awk, sed, vi).
• Knowledge of base SAS and languages such as Visual Basic, Perl, or C.

Ideal Candidate

Curious, tenacious, and nimble, with strong critical thinking and the ability to navigate ambiguity.

Equipment

Company-provided equipment. If there is a delay, candidates may use a personal device via remote access until it is available.