Extracts operations data for analysis, leadership support and responses to ad hoc data requests.
Maintains operations tools & databases to ensure that it is kept up-to-date.
Supports dashboarding and reporting by analysing data and providing actionable insights.
Develops, maintains and enhances operational metric database tools for the broader analytics teams.
Identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.
Manages complex data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
Designs data analysis to achieve business objectives, process data, analyze data, write clear and concise data findings and tailor communications to specific audiences.
Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
Manages complex data extracts and list pulls ensuring data accuracy.
Manages extracting data and transferring the data from databases to various analysts to support operational analysis efforts.
Develops and maintains dashboards and reporting tools to provide leadership and stakeholders with timely, actionable insights.
Creates complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
Develops and communicates clear, concise and actionable data analyses for clients.
Provides recommendations to enhance database(s) with new data sources and improved data processes.

Requirements

BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
4 years of related work experience
5+ years of experience in data engineering, analytics engineering, or a similar technical role.
Advanced proficiency in Python, including experience with common data/automation libraries (e.g., NumPy, pandas, boto3, psycopg2, SQLAlchemy, arcpy).
Advanced SQL skills, including writing complex queries, optimizing performance, and working with relational databases (PostgreSQL, MySQL, SQL Server, etc.).
Demonstrated experience building and maintaining ETL/ELT pipelines for data ingestion, cleansing, transformation, and delivery.
Experience designing and maintaining data models for Business Intelligence, analytics, and operational workflows.
Strong understanding of data quality, validation, monitoring, metadata, and data governance principles.
Hands-on experience with AWS cloud services (e.g., S3, Lambda, RDS, Glue), Snowflake and Palantir Foundry is a plus.
Demonstrated ability to lead end-to-end analytics projects from requirements gathering to delivering impactful outcomes.
Experience performing root cause analysis, diagnosing data issues, and implementing optimizations.
Exceptional communication skills to clearly communicate technical concepts and analytical outcomes to both technical and non-technical stakeholders.
Ability to thrive in fast-paced, deadline-driven environments.
Prior experience in dynamic environments such as startups, utility operations, retail, or airports is a plus.
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.

Benefits

PG&E’s discretionary incentive compensation programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata engineeringanalytics engineeringPythonSQLETLdata modelingdata qualitydata governanceroot cause analysis

Soft Skills

communicationleadershiporganizational skillsprioritizationproblem-solvingadaptabilityattention to detailtime managementcollaborationanalytical thinking