Jobs / United States / AT&T Services INC
Lead 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 Lead Data Analyst is a strategic data expert who transforms complex data into actionable insights that support informed decision-making and operational excellence. This role leads the collection, integration, analysis, governance, and visualization of data from multiple enterprise sources while promoting data quality, accuracy, consistency, and reliability. The ideal candidate combines advanced analytical expertise with experience in modern data engineering, cloud analytics, and AI-enabled technologies. This individual develops scalable reporting solutions, advanced analyses, and predictive insights that address complex business needs. Working closely with business stakeholders, technology teams, and senior leaders, the Lead Data Analyst identifies opportunities, solves complex business problems, and enables data-informed decision-making across the organization. As a recognized subject matter expert (SME), the Lead Data Analyst provides technical leadership for large-scale analytics initiatives, mentors team members, contributes to data strategy, and advances the adoption of modern analytics platforms and emerging technologies. Key Roles and Responsibilities: Responsibilities may include, but are not limited to: • Data Collection and Preparation: Collect, integrate, preprocess, and cleanse data from multiple sources to make it accurate, consistent, and ready for analysis. • Data Analysis and Interpretation: Apply statistical and analytical methods to identify patterns, trends, risks, and opportunities, and translate findings into actionable recommendations. • Reporting and Visualization: Develop accurate, clear, and compelling dashboards, visualizations, and reports that communicate findings effectively to technical and nontechnical stakeholders. • Data Quality and Discrepancy Resolution: Identify and resolve data discrepancies across systems and platforms. Establish quality controls, conduct audits, and monitor data to maintain reliability. • Data Integration: Design, develop, and support scalable ETL/ELT pipelines that integrate data from multiple enterprise sources. • Business Intelligence: Develop and maintain enterprise reporting and business intelligence solutions using tools such as Power BI, Tableau, or similar platforms. • Advanced Analytics: Apply appropriate statistical, predictive, machine-learning, and AI-assisted analytical methods to address complex business questions. • Data Governance: Support data governance, metadata management, data lineage, and data quality practices across relevant data domains. • Stakeholder Collaboration: Partner with business and technology teams to define analytical requirements, establish success measures, and deliver solutions aligned with organizational objectives. • Technical Leadership: Lead complex analytics initiatives, contribute to architectural and platform decisions, mentor less-experienced team members, and promote analytics best practices. • Modernization: Evaluate emerging technologies and support the adoption of modern cloud data platforms, analytical tools, and DataOps practices. Job Contribution An experienced professional recognized as an expert who applies broad and in-depth knowledge to resolve complex analytical and data-related challenges. Leads significant projects with a high degree of strategic autonomy and influences technical and business decisions. Develops and implements long-term plans that affect the organization, mentors less-experienced employees, and frequently collaborates with senior leaders. Supervisory Responsibility: No direct supervisory responsibility. C