Back to jobs

Data Analytics, Advisor

Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Gather and clean data from databases, spreadsheets, APIs and warehouses

  • Build predictive models and apply machine learning to find trends

  • Build charts and dashboards that make findings clear to stakeholders

  • Write reports with metrics and actionable recommendations for non-technical audiences

  • Monitor data quality and track performance metrics over time

From the employer’s posting
Gathers relevant data from various sources, including databases, spreadsheets, APIs, or data warehouses
apply methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms
Transforms data into visual representations such as charts, graphs, and dashboards
Creates reports and summaries that effectively communicate analysis and findings to non-technical audiences
Continually monitors data quality, track performance metrics

What you’ll bring

All qualifications

Core experience

  • 7+ years of data analysis experience
  • Experience with a variety of data tools and software
  • Programming tools such as SQL, Python or SAS
  • Bachelor's degree in a relevant field such as Statistics or Economics

Preferred experience

  • 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
Qualification wording
Seven or more years of experience in data analysis.
Experience using a variety of data tools and software.
Experience using programming tools (e.g., SQL, Python, SAS or similar)
Bachelor’s degree in a relevant field (e.g., Business, Data Science, Economics, Statistics, Engineering)
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
Education & alternatives
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)

About Southern California Edison

The people at SCE don't just keep the lights on.

In the employer’s words · Read in context

Posting record

Report an error

Open 3 monthsWe first saw this posting 113 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 13, 2026113 days ago
Recorded sightings
471
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 113

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,625 similar postings that came down. Coming down is not always a hire.

Southern California Edison is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SAS
  • SQL
  • Power BI
  • Tableau
Where the posting names them
- 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 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

Your next step

Complete your application on www.edisoncareers.com. The employer’s form will show what is required.

Already applied? Track this application

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Join the Clean Energy Revolution

 

Become a Data Analytics, Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, 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.

Incident Management Team Expected Participation: Employees are expected to support emergency response and/or business continuity efforts, including readiness to serve on an Incident Management Team (IMT) when needed. Employees will participate in an on-call rotation (approximately every four to six weeks), to support IMT activations during emergency events. IMT assignments may differ from an individual’s regular responsibilities.

As a Data Analytics, Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities

  • 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

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 influence 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.
  • Visit our Candidate Resource 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.

 

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 AskHR@sce.com or (626) 302-3456 and select option 2.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Irwindale, CA, US

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. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.