Jobs / United States / AT&T Services INC
Principal Advanced Analytics
AT&T Services INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What AT&T Services INC paid sponsored hires in similar roles20 certified filings for “Lead Advanced Analytics” (Data Scientists) in TX: $145k–$170k, median $158k. Most were filed at wage level IV (79%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — AT&T Services INC
The US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for AT&T Services INC →
About the role
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered. Principal, Advanced Analytics (Forecasting & Predictive Modeling) Lead Forecasting. Translate Performance. Drive Executive Decision-Making. The Local Market Forecasting & Performance Analytics team is seeking a highly analytical, technically proficient, and AI-centric leader to serve as Principal, Advanced Analytics . This team is responsible for developing and maintaining the forecasting models, analytical frameworks, and predictive insights that enable market leaders to anticipate future performance and make informed business decisions. We provide the forecasting discipline, statistical rigor, and advanced analytical capabilities necessary to support planning, performance management, and strategic decision-making across Wireless, Fiber, and AIA. As an AI-first organization, we expect leaders to leverage machine learning, AI-enabled analytics, advanced statistical modeling, automation, and emerging technologies to improve forecast accuracy, accelerate insight generation, and enhance organizational effectiveness. Successful candidates will embrace AI as a core component of how forecasting and analytics are performed while continuously seeking opportunities to improve model performance, scalability, and business impact. In this role, you will lead the development of forecasting methodologies and predictive models used to project gross adds, disconnects, net adds, and subscriber trends across markets, products, and channels. You will apply advanced statistical, machine learning, and time-series forecasting techniques to develop daily, weekly, monthly, and quarterly forecasts that identify emerging trends, quantify future performance, and provide visibility into risks and opportunities. You will partner closely with Forecasting, Finance, Pricing, Offers, Marketing, Go-to-Market, and market leadership teams to align forecast assumptions, improve forecasting methodologies, and translate complex analytical outputs into executive-ready insights. This position requires deep quantitative expertise, strong programming and modeling skills, forecasting discipline, business acumen, and the ability to connect sophisticated analytical methods to practical business decisions. Key Responsibilities Forecast Development & Predictive Modeling • 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 that incorporate seasonality, promotions, pricing changes, marketing activity, competitive dynamics, economic indicators, and operational factors. • Continuously evaluate and refine model performance using back-testing, error analysis, and model validation techniques. Advanced Analytics & Data Science • Design and implement statistical and machine learning models using Python and related analytical tools. • Utilize forecasting methodologies including Prophet, ARIMA-type approaches, gradient boosting, ensemble techniques, and other advanced modeling frameworks where appropriate. • Develop scalable forecasting processes that support multiple products, channels, markets, and planning horizons. • Identify leading indicators and predictive drivers that improve understanding of future performance. • Evaluate emerging analytical methodologies and technologies that enhance foreca