Data Analytics, Advisor

Description

• 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
• 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
• Work 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
• Use 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
• Continually 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
• 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

Requirements

• Experience with GenAI tools or frameworks for data analysis or automation
• 3+ years of hands-on experience with Snowflake or other cloud-based analytics platform, including Data modeling ETL development and orchestration, performance tuning and query optimization
• 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.
• Experience building or working with APIs to integrate external data sources into Snowflake, supporting real-time or automated data ingestion workflows
• Experience using a variety of data tools and software.
• Experience working with SAS
• Understanding of utility industry operations, especially in customer service domains
• Seven or more years of experience performing data analysis.
• 5 years’ experience in SQL or other scripting languages such as Python with experience writing complex queries and optimizing performance

Benefits

• 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.

Training + Development

Interview process

Visa Sponsorship

Security clearance