Operations Data Analyst, Career

Job Title: Operations Data Analyst, Career Location: Hybrid | Onsite 1 day/week in Dublin, CA Duration: August 17, 2026 – December 31, 2026 + possible extensions Pay Rate: $49.00 per hour W2 Account Manager Notes: Open to candidates that are non-local to Dublin. However, the HM would like candidates who are open to one day per week (Wednesday) in Dublin. The role is expected to be fully remote. If the successful candidate is located near Dublin, there may be the opportunity to visit the office on occasion. TOP THINGS: Deep proficiency with Excel, Experience with SAP, Experience with Power BI/Power Apps. EQUIPMENT: Client laptop will be provided at the start. Any other tools must be vendor provided. Title: Operations Data Analyst, Career Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time. Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing. Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts. Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles. Develops and communicates clear, concise and actionable data analyses for clients. Minimums: BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience 2 years of related work experience Knowledge, Skills, and Abilities (Desired): Familiarity with utility operations. Skilled in Microsoft Excel/Access (complex formulas, graphing, VBA) Skilled writing SQL queries using Oracle or Business Objects Experience in UNIX shell programming (csh, awk, sed, vi). Knowledge of base-SAS and programming language such as Visual Basic, Perl, C Able to analyze and interpret data and effectively communicate findings.