Senior Advanced Analytics Leader

AT&T; El Segundo, Northern (CA, KY); Hybrid; USD 141,000 - 212,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Adoption Reimbursement

Life and AD insurance

Employee discounts

Job summary

AT&T is seeking a Principal Advanced Analytics professional to strategically analyze data from diverse sources, employing predictive modeling, statistics, and trend analysis to guide decision-making and optimize business performance.

You will work with tools like Tableau, Power BI AI Insights, and Databricks to build models, create dashboards, and provide insights to leadership. This role requires 7+ years of quantitative experience and a Master's degree.

Qualifications

• Master's degree in a quantitative field and 7+ years of related experience.

Responsibilities

• Analyze data from diverse sources using predictive modeling, statistics and trend analysis.
• Apply advanced statistical methods to quantify variances and support decision-making.
• Develop business cases and complex models using big data analytics tools for process and financial optimization.
• Create dashboards, reports, and visualizations to advise business partners on data patterns and strategic directions.

Skills

Data analysis

Statistical methods

Predictive modeling

Tableau

Power BI

Databricks

Palantir

AWS/Azure/Synapse

Education

Master's degree in Data Science/Math/Statistics/Engineering/Physics

Tools

Tableau

Power BI

Databricks

Snowflake/Delta Lake

Oracle/MySQL

H2O Driverless AI

Job description

AT&T is seeking a Principal Advanced Analytics professional to strategically analyze data from diverse sources, employing predictive modeling, statistics, and trend analysis to guide decision-making and optimize business performance.

You will work with tools like Tableau, Power BI AI Insights, and Databricks to build models, create dashboards, and provide insights to leadership. This role requires 7+ years of quantitative experience and a Master's degree.