Senior Operations Data Analyst extracting and analyzing operations data for leadership support at PG&E. Maintaining operations tools and databases while leading complex data analysis projects.
Responsibilities
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.
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.
Creates complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
Demonstrates and uses advanced knowledge of data processing and data analysis techniques.
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.
Develops and communicates clear, concise and actionable data analyses for clients.
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.
Manages complex data extracts and list pulls ensuring data accuracy.
Provides recommendations to enhance database(s) with new data sources and improved data processes.
Lead and Coordinate Projects: Manage end-to-end data-related projects, ensuring alignment with organizational goals and timelines.
Performance Tracking: Monitor progress against milestones, adjust plans as needed, and report outcomes to senior leadership.
Requirements
BA/BS Degree in Marketing, Business, Computer Science, Engineering or related field or equivalent work experience
4 years of job-related experience
Familiarity with utility operations
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
Advanced skill in writing SQL queries using Oracle or Business Objects
Proficient in UNIX shell programming (csh, awk, sed, vi)
Solid knowledge of base-SAS and programming languages such as Visual Basic, Perl, C
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently
Good communications and presentation skills to deliver findings and make recommendations to stakeholders
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