Principal Advanced Analytics

AT&T

. Develop and maintain forecasting models across Wireless, Fiber, and AIA products supporting daily, weekly, monthly, quarterly, and annual planning horizons .

Posted 10/9/2026full-timeAtlanta • Texas • United StatesLead💰 $141,300 - $237,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying advanced forecasting models using Python and SQL, with a strong focus on time-series forecasting, statistical modeling, and predictive analytics. Capable of translating complex analytical findings into actionable business insights and executive-ready narratives.

Highest-signal resume keywords

Forecasting Model DevelopmentTime-Series ForecastingStatistical ModelingPython ProficiencyPredictive Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ForecastingAdvanced AnalyticsData ScienceStatistical ModelingMachine LearningFeature EngineeringModel ValidationCausal ModelingForecast Accuracy MeasurementBack-Testing

Soft Skills

Executive CommunicationStorytellingProject ManagementCollaborationOrganizational Skills

Tools & Technologies

PythonSQLDatabricksSnowflakeProphet

Certifications & Qualifications

Certification in Quantitative Field

Industry Keywords

Business IntelligenceEconomicsOperations ResearchSalesMarketingPricingFinanceGo-To-Market

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and maintain forecasting models across Wireless, Fiber, and AIA products supporting daily, weekly, monthly, quarterly, and annual planning horizons
Build market-level, channel-level, and market-by-channel forecasting models for gross adds, disconnects, and net adds
Apply advanced time-series forecasting methodologies, machine learning techniques, and predictive analytics to improve forecast accuracy and responsiveness
Develop forecasting frameworks incorporating seasonality, promotions, pricing changes, marketing activity, competitive dynamics, economic indicators, and operational factors
Evaluate and refine model performance using back-testing, error analysis, and model validation techniques
Design and implement statistical and machine learning models using Python and related analytical tools
Develop scalable forecasting processes across multiple products, channels, markets, and planning horizons
Identify leading indicators and predictive drivers of future performance
Monitor actual results versus forecast and conduct forecast diagnostics
Develop drivers-based waterfall analyses explaining forecasted outcomes
Quantify impacts of promotions, pricing changes, marketing initiatives, competitive actions, and operational performance
Build automated forecasting pipelines and leverage AI-enabled analytics, machine learning, automation, and agentic workflows
Partner with data engineering and technology teams on forecasting infrastructure, data availability, and model deployment
Translate complex statistical outputs into executive-ready narratives and recommendations
Present forecast results, risks, opportunities, and business implications to senior leaders and cross-functional stakeholders
Develop reporting routines improving visibility into forecast performance, accuracy, and business drivers
Partner with leadership teams to support planning, investment decisions, and operating priorities

Requirements

What you’ll need

Experience in forecasting, advanced analytics, data science, business intelligence, economics, statistics, operations research, or related quantitative disciplines
Proven experience developing and deploying forecasting models in complex business environments
Strong expertise in time-series forecasting, statistical modeling, and predictive analytics
Advanced proficiency in Python, SQL, Databricks, Snowflake, and related analytical technologies
Experience with Prophet, machine learning frameworks, forecasting methodologies, and model evaluation techniques
Strong understanding of forecasting concepts including seasonality, trend analysis, causal modeling, feature engineering, model validation, and forecast accuracy measurement
Experience building scalable forecasting solutions across multiple products, channels, markets, or business segments
Ability to translate sophisticated analytical findings into clear business implications and actionable insights
Strong executive communication and storytelling skills
Demonstrated experience leveraging AI, automation, and advanced analytics to improve business outcomes
Experience supporting sales, marketing, pricing, forecasting, finance, operations, or go-to-market organizations is highly desirable
Strong project management, collaboration, organizational, and leadership skills
Ability to thrive in a fast-paced environment while balancing technical rigor, business relevance, and executive responsiveness
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
7+ years of related experience
Certification is required in some areas

Benefits

Comp & perks

Medical/Dental/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 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