Reliability Data Analyst: Operational Insights & Pipelines

PG&E; Oakland (CA); Hybrid; USD 90,000 - 136,000; Full time

Job summary

PG&E in Oakland is seeking a data analytics professional to support enterprise reliability strategy. You will extract, manage, and analyze operational data, build pipelines, and provide actionable insights to inform performance, risk, and decision-making.

The role involves developing dashboards and reports, collaborating with engineering, operations, IT, and strategy to ensure data outputs meet business needs, and contributing to data governance and continuous improvement.

Qualifications

• BA/BS degree or equivalent work experience with 2 years of related experience.
• Familiarity with utility operations.
• Proficient in Microsoft Excel/Access (complex formulas, graphing, VBA).
• Experience writing SQL queries using Oracle or Business Objects.
• Experience in UNIX shell programming (csh, awk, sed, vi).
• Knowledge of SAS and languages such as Visual Basic, Perl, and C.
• Able to analyze and interpret data and communicate findings.

Responsibilities

• Extract, manage, and analyze operational data to support PG&E's enterprise reliability strategy.
• Develop and maintain data pipelines, tools, and databases for timely data delivery.
• Implement and support automated data processes to improve quality and efficiency.
• Create and deliver standard and ad hoc reports, dashboards, and analyses.
• Collaborate with engineering, operations, IT, and strategy to gather requirements.
• Apply statistical techniques to develop actionable insights for decisions.
• Communicate results clearly to technical and non-technical stakeholders.

Skills

Data analysis

Analytical thinking

Data interpretation

Communication

Education

BA/BS degree or equivalent

Tools

Excel/Access

SQL

UNIX shell

SAS

Visual Basic

Perl

C

Job description

PG&E in Oakland is seeking a data analytics professional to support enterprise reliability strategy. You will extract, manage, and analyze operational data, build pipelines, and provide actionable insights to inform performance, risk, and decision-making.

The role involves developing dashboards and reports, collaborating with engineering, operations, IT, and strategy to ensure data outputs meet business needs, and contributing to data governance and continuous improvement.