Jobs / United States / AT&T Services INC
Principal Data Analysis
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 roles3 certified filings for “PRINCIPAL DATA ANALYSIS” (Data Scientists) in GA: $150k–$164k, median $164k. Most were filed at wage level IV (100%) — 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. Role Overview The Principal Data Analyst leads the design and execution of complex analytics initiatives that transform enterprise data into strategic business insights and measurable outcomes. This role provides technical and thought leadership across advanced analytics, business intelligence, data management, governance, and emerging AI capabilities. As a strategic advisor and recognized subject matter expert (SME), the Principal Data Analyst contributes to enterprise data strategy, leads business-critical initiatives, mentors analytics professionals, and advises senior leaders on complex decisions. This individual applies modern technologies—including cloud data platforms, predictive analytics, machine learning, and AI-assisted solutions—to solve complex business challenges and advance the organization’s analytical capabilities. Experience with Databricks and/or Snowflake is highly desirable. Key Roles and Responsibilities: Responsibilities may include, but are not limited to: • Enterprise Analytics Leadership: Lead complex, enterprise-wide analytical initiatives that translate data into actionable strategies, measurable outcomes, and business value. • Data Analysis and Interpretation: Apply advanced statistical and analytical methods to identify trends, relationships, risks, and opportunities. Translate findings into clear recommendations for senior leaders and other stakeholders. • Data Strategy and Roadmaps: Partner with business and technology leaders to define data strategies, analytical roadmaps, key performance indicator frameworks, and measurement plans. • Advanced Analytics and AI: Develop or guide the implementation of predictive models, forecasting solutions, machine-learning applications, and AI-assisted insights that improve decision-making and operational performance. • Business Intelligence and Visualization: Design and oversee executive dashboards, reporting solutions, and visualizations that communicate complex information clearly, accurately, and persuasively. • Data Integration and Architecture: Provide technical direction for large-scale data integration, data modeling, ETL/ELT pipelines, data warehouses, and lakehouse architectures. • Data Quality and Governance: Establish and promote practices for data quality, governance, metadata management, lineage, auditing, and discrepancy resolution across platforms and data domains. • Technology Evaluation and Modernization: Evaluate emerging technologies and architectural approaches, including generative AI, machine learning, cloud data platforms, and advanced analytics tools. Recommend solutions aligned with business objectives and technical standards. • Stakeholder Partnership: Collaborate with business, technology, architecture, governance, and data teams to define requirements, resolve complex challenges, and deliver scalable analytical solutions. • Technical Leadership and Mentoring: Establish analytical best practices, provide guidance on challenging technical issues, conduct solution reviews, and mentor analytics professionals. • Executive Communication: Present findings, recommendations, risks, and strategic options to senior leaders in a concise and business-focused manner. Job Contribution A recognized expert who applies extensive technical expertise, broad business knowledge, and strategic insight to address highly complex challenges and deliver organizational results. Leads critical, high-impact initiatives and develops innovative analytical strategies and solutions. Works with minimal oversight, regularly advises senior leaders, and influences significant technical and business d