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Data Analytics, Senior Advisor

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Southern California Edison
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Join the Clean Energy Revolution

Become
Data Analytics,Sr.Advisor
at Southern California Edison (SCE) and build a better tomorrow. In this job, you’llyou will deliver actionable insights that improve operational efficiency and enhance customer experiencebydevelopingadvanced SQL queries,optimizing

Snowflake-based data solutions, and implementing

GenAI-driven analytics.

As
Data Analytics,Sr.Advisor
, your workwill help power our planet, reduce carbonemissionsand 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…
Position Requirements
10+ Years work experience
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