Data Analytics Advisor

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; applies 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, tracks 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.

Requirements

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

Preferred Qualifications

• Advanced SQL, SAS and Snowflake skills and experience working with large, complex datasets from multiple enterprise data sources.
• Experience with modern cloud-based analytics platforms such as Azure, Snowflake, Databricks, or Google Cloud Platform.
• Experience presenting technical concepts to non-technical audiences.
• Experience translating business challenges into analytical requirements and actionable recommendations.
• Experience leading cross-functional projects and influencing stakeholders across multiple organizational levels.

About the Role

Become a Data Analytics Advisor within the Data Analytics and Automation team at Southern California Edison (SCE) and build a better tomorrow. In this role, you’ll lead complex analytical initiatives, collaborate with cross-functional stakeholders, and develop innovative data-driven solutions that influence strategic decisions across the organization.

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.

Qualifications

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

Skills

• Advanced SQL, SAS and Snowflake skills and experience working with large, complex datasets from multiple enterprise data sources.
• Experience with modern cloud-based analytics platforms such as Azure, Snowflake, Databricks, or Google Cloud Platform.
• Experience presenting technical concepts to non-technical audiences.
• Experience translating business challenges into analytical requirements and actionable recommendations.
• Experience leading cross-functional projects and influencing stakeholders across multiple organizational levels.

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.

Pay

The pay range for this position is $80,000 - $120,000 annually.

Schedule

The schedule for this position is typically Monday through Friday, 9:00 AM to 5:00 PM.