Data Analyst

Job Responsibilities

• Partner with lead Program Manager to implement Data Quality improvement programs to systematically inventory PG&E's critical electric asset data, capture metadata, measure data quality, and drive the execution of high-priority data improvements.

• Build strong relationships with business data stewards, asset data system specialists, IT Foundry ontology team, IT data quality team and IT architecture team to facilitate program implementation.

• For critical datasets, lead the documentation of metadata in Collibra, integration of data into Foundry, development of data quality rules and guide development of dashboards to monitor data quality

• Measure and report KPIs to evaluate ADQ program progress and status for clients and senior leadership

• Perform triage and remediation on data quality rule errors to ensure rules are functional.

• Continuously monitor data quality rule performance to ensure that rules are functional and triage/remediate data quality rule errors when they arise.

• Partner with Business Data Stewards to update, modify or add data quality rules.

• Ensure data quality action plans are implemented where data fails to meet established data governance standards.

• dvise Program Manager on strategy and roadmap to reflect continuous improvement and expansion into data types beyond Asset Registry and Asset Condition data (e.g., event data)

Qualifications
Minimum

• BA/BS Degree in Data Science, Computer Science, Engineering or other related field or equivalent work experience

• Ten (10) years of related work experience

• Excellent communication skills.

• Technical Skills - SQL, MS Excel, Python, Foundry, Informatica, PowerBI, PowerApps, SharePoint Online etc.

Desired

• Experience in regulated electric or gas utility asset management and/or operations

• Data management and data quality tool experience

• Detail-oriented with ability to focus on managing multiple reports and processes

• Even-tempered, manages conflicts in a positive manner, and comfortable interacting with individuals at all levels

• Excellent organizational, verbal, and written communication skills with proven ability to establish and cultivate relationships with vendors and business SMEs.

• Project management / implementation of data management policies and standards.

• Experience with relevant project management tools and methodologies (Agile, Design thinking, Kanban, etc.).

• Demonstrated executive engagement and presentation skills.