Principal Advanced Analytics

About the role

This position requires office presence of a minimum of 5 days per week and is only located in El Segundo, CA. No relocation is offered.

Overall Purpose

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Responsibilities

• Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (e.g., Oracle or MySQL) and/or Data Warehouse data storage (e.g., Snowflake or Databricks Delta Lake). Data sources include internal and external sources, data lakes, and data warehouses such as eCDW, BIDW, etc.
• Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and use traditional modeling techniques to support decision-making. Common tools include Tableau, Palantir, Power BI (AI Insights), Databricks, AWS Azure, Synapse, and H2O Driverless AI.
• Business Case Development and Analytics Tools: Develop business cases and create complex models using big data analytics tools (e.g., Tableau, Power BI AI Insights, Databricks) for modeling, process integration, and recommendations for improvements to processes, financials, and business models. Build and test predictive models on various data samples and verify their accuracy in real-world scenarios (e.g., Linear/Logistic Regression, Time Series).
• Reporting and Business Insights: Develop visualizations such as dashboards, reports, and charts, and advise business partners on data patterns and relationships to recommend strategic directions.
• Job Contribution: Serve as an expert in the field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Lead critical, high-impact projects and design/implement innovative business strategies. Work with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serve as a mentor and assist others with challenging issues.

Qualifications

• Master’s degree (MS/MA) desired from an accredited university in a quantitative field such as Data Science, Math, Statistics, Engineering, or Physics.
• 7+ years of related experience.
• Certification is required in some areas.

Pay

Principal Advanced Analytics roles earn between $141,300 – $211,900 annually. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Benefits

• Medical, Dental, and Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond state/local requirements (unprotected)
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity, group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available), and AT&T phone