Data Analytics, Advisor

• Gathers relevant data from various sources, including databases, spreadsheets, APIs, or data warehouses and ensures data integrity by cleaning and preprocessing it to remove errors, inconsistencies, or missing values that could affect the accuracy of the analysis.
• Uses statistical and analytical techniques to explore and examine cleaned data; apply methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms to identify patterns, relationships, and trends within the data.
• Transforms data into visual representations such as charts, graphs, and dashboards; visualizations should present insights and findings clearly and concisely, enabling stakeholders to understand the information easily and make data-driven decisions.
• Creates reports and summaries that effectively communicate analysis and findings to non-technical audiences; reports should include key metrics, data visualizations, and actionable recommendations to help stakeholders understand data implications and make informed decisions.
• Continually monitors data quality, track performance metrics, and analyzes new data to ensure the relevance and accuracy of insights and assists in evaluating and improving data analytics methodologies and processes for enhanced efficiency and effectiveness.
• Works with cross-functional teams, including data scientists, business analysts, and stakeholders from different departments, to define analytic objectives, align data analysis with business needs and communicate insights effectively.
• A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity, * This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
• Visit our Candidate Resource (https://www.edisoncareers.com/page/show/candidate-resources) page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
• Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
• Relocation does not apply to this position.

About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

• Seven or more years of experience in data analysis.
• Experience using a variety of data tools and software., * Bachelor's degree in a relevant field (e.g., Business, Data Science, Economics, Statistics, Engineering)
• Experience using programming tools (e.g., SQL, Python, SAS or similar)
• Experience developing predictive models, statistical analyses, or machine learning applications
• Experience developing dashboards and reporting tools using platforms such as Power BI, Tableau, or similar
• Familiarity with Building Electrification, Energy Efficiency, or Income Qualified programs
• Experience supporting regulatory environments, including CPUC reporting, audits, or data requests
• Experience preparing executive-level reporting materials and communicating complex analytical insights to non-technical stakeholders
• Experience managing multiple analytical projects and influence outcomes through data-driven insights