Data Analytics, Advisor

Southern California Edison; California (MO); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Southern California Edison (SCE) invites you to join its data analytics team as an Advisor supporting Building Electrification and Income Qualified programs. You will apply advanced analytics, statistical modeling, and machine learning to drive program strategy, regulatory reporting, and operational decisions.

The role requires independent leadership of high‑impact analyses, governance of data quality, and collaboration with data scientists and stakeholders.

Qualifications

• 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.
• Experience using SQL, Python, SAS or similar.
• Experience developing predictive models or machine learning applications.

Responsibilities

• Gather data from databases, spreadsheets, APIs or data warehouses and ensure data integrity.
• Apply descriptive statistics, data mining, predictive modeling, and ML algorithms to identify patterns.
• Transform data into visual representations such as charts and dashboards for clear insights.
• Create reports with metrics, visuals, and actionable recommendations for non-technical audiences.
• Monitor data quality and analytics methodologies across projects.
• Collaborate with data scientists and business analysts to meet objectives.
• Protect sensitive data and ensure governance and integrity.

Skills

Data analysis

Data tools

Education

Bachelor's degree

Tools

SQL

Python

SAS

Job description

Join the Clean Energy Revolution – Become a Data Analytics Advisor at Southern California Edison (SCE) and build a better tomorrow. In this role you’ll apply advanced analytics, statistical modeling, and machine learning techniques to support Building Electrification (BE) and Income Qualified (IQ) programs. You will lead complex analytical initiatives, develop predictive models, and generate insights that inform program strategy, regulatory reporting, and operational decision‑making. The Advisor operates independently, driving high‑impact analyses, supporting cross‑functional execution, and strengthening data quality, governance, and analytical methodologies.

Employees are expected to support emergency response and/or business continuity efforts, including readiness to serve on an Incident Management Team (IMT) when needed. All employees participate in an on‑call rotation (approximately every four to six weeks) and may be assigned to IMT activations during emergency events.

Responsibilities

• Gather relevant data from various sources, including databases, spreadsheets, APIs, or data warehouses and ensure data integrity by cleaning and preprocessing it to remove errors, inconsistencies, or missing values that could affect the accuracy of the analysis.
• Use statistical and analytical techniques to explore and examine cleaned data; apply methods such as descriptive statistics, data mining, predictive modeling, and machine learning algorithms to identify patterns, relationships, and trends within the data.
• Transform 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.
• Create 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.
• Continuously monitor data quality, track performance metrics, and analyze new data to ensure the relevance and accuracy of insights and assist in evaluating and improving data analytics methodologies and processes for enhanced efficiency and effectiveness.
• Work with cross‑functional teams, including data scientists, business analysts, and stakeholders from different departments, to define analytical objectives, align data analysis with business needs, and communicate insights effectively.
• Ensure the protection of all physical, financial and cybersecurity assets, 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.

Minimum Qualifications

• Seven or more years of experience in data analysis.
• Experience using a variety of data tools and software.

Preferred Qualifications

• 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 influencing outcomes through data‑driven insights.

Additional Information

• 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.
• 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.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at [e-mail] or (626) 302‑3456 and select option 2.