Principal Operations Data Analyst - Oakland, CA, United States - PG&E Corporation

Description

Business Operations / Strategy


Business Unit:
Finance

The Finance Governance & Analytics team serves as the strategic partner across Business Finance, their Line of Business partner teams, and the broader Finance organization to drive analytical and process governance standards and reporting.

Our mission is to enable data-informed problem solving and decision making and drive continuous improvement leveraging strategic tools, technology, and best practices.

We specialize in reporting, visual management, complex modeling, and cutting-edge analysis to mitigate risks and optimize process performance, serving our hometowns through financial stewardship and industry best practices.

Extracts operations and finance data for analysis, leadership support, and responses to ad-hoc requests.

Maintains tools & databases to ensure they kept up to date and in compliance with data governance standards and best practices.

Develops, maintains, and enhances 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.

Collaborates with analytics platform owners and subject matter experts to prioritize and drive development of scalable data capabilities.

This position is hybrid, working from your remote office and Oakland, CA approximately once per week or more, depending on business need.

Support complex data analysis projects with limited supervision from initial request to presenting data results ensuring that the project(s) are completed within expectations.

Analyzes the data using various advanced statistical tools to develop complex ad-hoc reports, trends, and or decisions.

The ability to support and communicate the team's vision, purpose and projects are critical to the awareness, broader adoption, and scaling of PG&E's modernized financial systems, tools, and applications (i.e., Machine Learning & Artificial Intelligence applications integrated with Snowflake, Foundry, and SAP/S4 Hana).

Extensive data processing and data analysis expertise; in the development of strategy or resolution of complex data issues.
Creates automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and data cleansing.

Works with Senior Management to develop and execute business related strategies and projects, often expanding beyond the finance organization.

Manages extracting and transferring data to various leads, analysts, and data scientists, to support the organization's operational needs and priorities.

Develops comprehensive reports and presents those findings concisely across a range of audiences, from subject matter experts to senior leadership.

Applies foundational level data science / machine learning / artificial intelligence methods to develop defensible and reproducible predictive and or optimization models.

Extracts, transforms, and loads data from dissimilar sources from across PG&E, to support the team's machine learning feature engineering and related projects.

As part of the Business Plan Development process and others, supports automated data routines and processes for system of record updates, reporting and data delivery, ensuring accurate data manipulation and data cleansing.

BA/BS Degree in Marketing, Business, Computer Science, Data Science, Engineering, or other related field or equivalent work experience.
~Master's degree in marketing, Business, Computer Science, Data Science, Engineering, or equivalent and relevant experience.
Advanced skills in writing SQL queries, using Microsoft SQL Server
Maintain steady state SQL extracts to support dashboards in Excel, Power BI, Tableau
Understanding of database management tools including Foundry, Snowflake, SAP/S4 Hana.
Knowledgeable of base-SAS and programming languages (e.g., Python, R)