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Data Analytics, Senior Advisor

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

What you’ll work on

Full posting
  • Clean and preprocess data from databases, spreadsheets, APIs and warehouses

  • Apply statistics, data mining, predictive modeling and machine learning to find patterns

  • Build charts, graphs and dashboards that present findings to stakeholders

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

  • Mentor and guide other data analysts

From the employer’s posting
ensures data integrity by cleaning and preprocessing it to remove errors, inconsistencies, or missing values
applies various methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms
Transforms complex data into visual representations such as charts, graphs, and dashboards
Creates reports and summaries that effectively communicate their analysis and findings to non-technical audiences
Mentors and guides other data analysts.

What you’ll bring

All qualifications

Core experience

  • Experience using a variety of data tools and software.

Preferred experience

  • 10+ years of experience using SQL, SAS, Python, or similar analytical languages to extract, transform, and analyze large datasets, develop customer insights, and answer complex business questions through advanced queries and statistical analysis.
  • 3+ years of experience working with Snowflake and/or other cloud-based data platforms, including data exploration, analytical data modeling, query optimization, and supporting large-scale analytics initiatives.
  • 2+ years of experience building and leveraging Generative AI (GenAI) tools and/or AI-powered analytics solutions to accelerate insight generation, automate analysis, identify patterns, and translate data into actionable business recommendations.
  • Hands-on experience delivering solutions in at least two of the following areas: customer segmentation, propensity modeling, forecasting, and root-cause analysis.
Qualification wording
Experience using a variety of data tools and software.
10+ years of experience using SQL, SAS, Python, or similar analytical languages to extract, transform, and analyze large datasets, develop customer insights, and answer complex business questions through advanced queries and statistical analysis.
3+ years of experience working with Snowflake and/or other cloud-based data platforms, including data exploration, analytical data modeling, query optimization, and supporting large-scale analytics initiatives.
2+ years of experience building and leveraging Generative AI (GenAI) tools and/or AI-powered analytics solutions to accelerate insight generation, automate analysis, identify patterns, and translate data into actionable business recommendations.
Hands-on experience delivering solutions in at least two of the following areas: customer segmentation, propensity modeling, forecasting, and root-cause analysis.

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

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Status in our records
Live
First seen by us
Aug 24, 202672 days ago
Recorded sightings
387
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 72

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
  • Snowflake
Where the posting names them
Preferred Qualifications - 10+ years of experience using SQL, SAS, Python, or similar analytical languages to extract, transform, and analyze large datasets, develop customer insights, and answer complex business questions through advanced queries and statistical analysis. - 3+ years of experience working with Snowflake and/or other cloud-based data platforms, including data exploration, analytical data modeling, query optimization, and supporting large-scale analytics initiatives.
Join the Clean Energy Revolution Become Data Analytics, Sr. Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll you will deliver actionable insights that improve operational efficiency and enhance customer experience by developing advanced SQL queries, optimizing Snowflake-based data solutions, and implementing GenAI-driven analytics. As Data Analytics, Sr. 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? 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.
- 10+ years of experience using SQL, SAS, Python, or similar analytical languages to extract, transform, and analyze large datasets, develop customer insights, and answer complex business questions through advanced queries and statistical analysis. - 3+ years of experience working with Snowflake and/or other cloud-based data platforms, including data exploration, analytical data modeling, query optimization, and supporting large-scale analytics initiatives. - 2+ years of experience building and leveraging Generative AI (GenAI) tools and/or AI-powered analytics solutions to accelerate insight generation, automate analysis, identify patterns, and translate data into actionable business recommendations.

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 Data Analytics, Sr. Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll you will deliver actionable insights that improve operational efficiency and enhance customer experience by developing advanced SQL queries, optimizing Snowflake-based data solutions, and implementing GenAI-driven analytics. As Data Analytics, Sr. 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?

 

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.

 

 

Responsibilities

  • Performs the most complex data analysis from various sources, such as 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 analysis.
  • Uses statistical and analytical techniques to explore and examine data; applies various methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms to identify patterns, relationships, and trends within the data.
  • Transforms complex data into visual representations such as charts, graphs, and dashboards; visualizations provide a clear and concise way to present insights and findings to stakeholders, enabling them to understand the information easily and make data-driven decisions.
  • Creates reports and summaries that effectively communicate their analysis and findings to non-technical audiences; reports often include key metrics, data visualizations, and actionable recommendations that help stakeholders understand the implications of the data and make informed decisions.
  • Derives actionable insights from the data analysis process by interpreting the results and understanding the business context; provides valuable insights that drive strategic decision-making, optimize processes, improve performance, and identify opportunities for growth.
  • Monitors data quality, tracks performance metrics, and analyzes new data continuously to ensure that insights remain relevant and accurate over time.
  • Evaluates and improves data analytics methodologies and processes to enhance efficiency and effectiveness. Works closely with cross-functional teams, including data scientists, business analysts, and stakeholders from different departments. Collaborates to define analytical objectives, align data analysis with business needs, and communicate insights effectively.
  • Mentors and guides other data analysts.
  • 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

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

 

Preferred Qualifications

  • 10+ years of experience using SQL, SAS, Python, or similar analytical languages to extract, transform, and analyze large datasets, develop customer insights, and answer complex business questions through advanced queries and statistical analysis.
  • 3+ years of experience working with Snowflake and/or other cloud-based data platforms, including data exploration, analytical data modeling, query optimization, and supporting large-scale analytics initiatives.
  • 2+ years of experience building and leveraging Generative AI (GenAI) tools and/or AI-powered analytics solutions to accelerate insight generation, automate analysis, identify patterns, and translate data into actionable business recommendations.
  • Hands-on experience delivering solutions in at least two of the following areas: customer segmentation, propensity modeling, forecasting, and root-cause analysis.

 

 

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.
  • The primary work location for this position is Irwindale, CA.
  • Relocation may 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.

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Pay

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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!
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