Principal Operations Data Analyst
Oakland, CA, US, 94612
Full Time Senior-level / Expert USD 136K - 232K
Pacific Gas and Electric Company
Pacific Gas and Electric Company (PG&E) provides natural gas and electric service to residential and business customers in northern and central California.Requisition ID # 156844
Job Category: Business Operations / Strategy
Job Level: Manager/Principal
Business Unit: Finance
Work Type: Hybrid
Job Location: Oakland
Department Overview
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.
Position Summary
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.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
A reasonable salary range is:
Bay Area Minimum: $136,000.00
Bay Area Maximum: $232,000.00
Job Responsibilities
- 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.
- Act as a thought leader, champion Lean best practices, and demonstrate a strong technical documentation ability.
- 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. Additionally, acts as peer reviewer of simple 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.
Qualifications
Minimum:
- BA/BS Degree in Marketing, Business, Computer Science, Data Science, Engineering, or other related field or equivalent work experience.
- 8 years of job-related experience
Desired:
- 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)
Tags: Computer Science Data analysis Data governance Engineering Excel Feature engineering Finance Machine Learning Power BI Python R SAS Snowflake SQL Statistics Tableau
Perks/benefits: Career development Equity
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs