Jobs / United States / Pfizer INC

Pfizer INC

Associate, Insights, Intelligence & Strategy Oncology

United States - New York - New York City Posted today

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Skills this job asks for

BudgetingSQLSnowflakeExcelEnglishCommunicationPython

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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 40 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.
  • 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.
  • What Pfizer INC paid sponsored hires in similar roles1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 40 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 Pfizer INC paid sponsored hires in similar roles
1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data and insights to inform some of Pfizer’s most critical commercial decisions. With colleagues across the globe, GCA combines analytical expertise, business knowledge and strategic problem solving to support the enterprise and improve outcomes for patients. Insights, Intelligence & Strategy (IIS) partners closely with Oncology commercial leaders to translate business questions into insights and actions. The team brings together secondary analytics, market research, forecasting, data science and other sources of intelligence to help leaders understand performance, identify opportunities and make better decisions. As an IIS Oncology Associate , you will work in a dynamic, fast paced environment supporting strategic and analytical priorities across the Oncology portfolio. You will partner with IIS colleagues, Oncology commercial teams and other GCA functions to frame business questions, conduct analyses, synthesize insights and translate findings into clear recommendations. The role is well suited for someone who is intellectually curious, comfortable working across multiple priorities, able to learn new analytical tools quickly and effective at communicating with both technical and nontechnical stakeholders. ROLE RESPONSIBILITIES • Support analysis of key Oncology business questions across brand performance, customer engagement, field effectiveness, patient dynamics and portfolio opportunities • Translate unstructured business questions into clear analytical approaches, working with relevant GCA teams and data sources to develop fact based answers • Conduct secondary data analyses using tools such as SQL, Snowflake, Excel, visualization tools and GenAI enabled analytics environments • Integrate insights across multiple sources, including secondary analytics, market research, forecasting and data science, to develop a holistic view of business performance and opportunities • Develop analyses and tools that improve field and customer decision making, including targeting, prioritization, alerts and performance tracking • Synthesize complex analyses into clear, concise recommendations for Oncology commercial stakeholders and senior leaders • Collaborate across IIS, PAI, Data Science, Forecasting, UAL and other GCA teams to ensure analyses leverage appropriate capabilities and avoid duplicative work • Manage multiple projects and priorities simultaneously while maintaining strong quality, responsiveness and stakeholder communication • Use GenAI and emerging analytical tools to accelerate analysis and insight generation while applying appropriate business judgment and validation • Build strong working relationships across GCA and the Oncology organization and proactively seek context needed to understand broader business objectives QUALIFICATIONS MUST-HAVE • BA/BS with demonstrated strength in analytical problem solving • Academic background in business, economics, finance, analytics, data science, engineering, mathematics or a related quantitative discipline • Fluent in English, both written and verbal • Strong analytical and problem-solving skills with the ability to structure ambiguous questions and develop practical approaches to answering them • Strong communication skills and ability to translate analytical findings into clear business implications • Ability to work effectively across multiple stakeholders and functional teams • Demonstrated ability to learn new analytical tools and business concepts quickly • Working knowledge of analytical tools such as Excel, SQL, Snowflake, Python or similar platforms • Comfortable using GenAI tools to support analysis, synthesis and productivity while applying independent judgment to outputs • Collaborative, proactive

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