Principal Advanced Analytics

AT&T•Atlanta, GA

2d•Onsite

About The Position

At AT&T, we empower leaders to drive change in a fast evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections. As a Principal Advanced Analytics your tasks may include, but are not limited to, the following: As a Principal Advanced Analytics, you’ll serve as the measurement engine behind the Mass Markets Transformation portfolio, quantifying benefits and business impact across initiatives, including AI-driven value. You’ll work side-by-side with transformation leads to define success upfront, translate project outcomes into measurable KPIs, and build the reporting and analytics needed to track value from launch through scale. You’ll also partner closely with Finance to align on methodology, ensure credibility of benefit claims, and create a consistent, repeatable approach to value measurement across the portfolio. Success in this role requires strong analytical rigor, clear executive-ready communication, comfort working across multiple initiatives, the ability to turn complex results into actionable insights that drive decisions, and strong financial and analytical skills.

Requirements

7+ years of related experience
Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics
strong analytical rigor
clear executive-ready communication
comfort working across multiple initiatives
the ability to turn complex results into actionable insights that drive decisions
strong financial and analytical skills

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 (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, data lakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- 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. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

Benefits

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is 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