Jobs / United States / Astrazeneca Pharmaceuticals Lp
Insights & Analytics Specialist
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Gaithersburg - MD
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 99 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 31 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles2 certified filings for “Director, Brand Analytics” (Data Scientists) in DE: $205k–$225k, median $215k. 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 — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 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 31 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 Astrazeneca Pharmaceuticals Lp →
About the role
Location: Gaithersburg, USA Hybrid: 3 days a week onsite The Insights & Analytics Specialist helps transform data, business processes, and emerging AI technologies into trusted insights and scalable solutions that improve scientific and business decision-making. Working across business, technology, analytics, and governance functions, the role combines data analysis, data management, process improvement, and AI-enabled innovation to deliver measurable business value. The successful candidate will help identify opportunities for analytics, automation, and AI adoption while ensuring that solutions are scalable, compliant, and aligned with organizational standards. This role is ideal for someone who enjoys solving complex business problems, connecting people and technology, and helping modern analytical and AI capabilities move from experimentation into practical operational us. Typical Accountabilities • Translate business and scientific needs into solutions : Partner with stakeholders to understand challenges, define requirements, and deliver data, analytics, automation, and AI-enabled solutions. • Perform data analysis and integration : Analyze, profile, transform, and integrate data to support reporting, analytics, AI applications, and data science initiatives. • Drive AI-enabled business transformation : Identify opportunities to improve scientific and business workflows through analytics, automation, AI agents, and process redesign, delivering scalable solutions that improve efficiency and business outcomes. • Develop and operationalize AI-enabled solutions : Contribute to the design, deployment, monitoring, and continuous improvement of AI-assisted analytics, AI agents, and automated workflows, leveraging cloud-based platforms where appropriate. • Bridge business, data, and technology: Collaborate across business, technology, data science, engineering, and governance teams to translate complex needs into practical, scalable solutions and support successful adoption. • Maintain data quality, governance, and compliance: Apply data governance, metadata management, privacy, security, and quality standards to ensure trusted, compliant, and fit-for-purpose data and solutions. • Communicate insights effectively: Present findings, recommendations, assumptions, limitations, and business implications clearly to technical and non-technical audiences. Qualifications and Skills Essential • Bachelor's degree in Computer Science, Data Science, Data Management, Information Systems, Statistics, Mathematics, Engineering, or a related discipline. • At least 1 year of experience performing data analysis, reporting, analytics, or business intelligence activities. • At least 1 year of experience using Python, SQL, R, databases, visualization platforms, or similar analytical tools. • Understanding of data quality, governance, metadata management, and data stewardship principles. • Familiarity with generative AI tools, AI assistants, AI agents, workflow automation, or related technologies. • Exposure to cloud-based analytics environments, preferably Microsoft Azure or AWS. • Ability to translate business needs into practical data, analytics, automation, or AI-enabled solutions. • Strong communication, consulting, and stakeholder engagement skills. • Ability to work effectively in cross-functional teams. Desirable • Experience building, configuring, or supporting AI agents, copilots, workflow automation solutions, or AI-enabled business processes. • Experience supporting deployment, operationalization, or monitoring of analytics and AI solutions. • Familiarity with Git, testing, CI/CD, APIs, and modern software engineering practices. • Experience working across business, technology, governance, quality, or data science func