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    Senior Manager, Data Science & Analytics

    Pfizer
    5-7 years
    $120,800.00 to $201,400.00 annually
    United States
    10 Jan. 24, 2025
    Job Description
    Job Type: Full Time Education: B.Sc,M.Sc,B.Pharma,M.Pharma,LifeScience Graduates Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

    Job Title: Senior Manager, Data Science & Analytics
    Location:

    • United States – Washington, Bothell
    • United States – New York, New York City
    • Mexico – Mexico City
    • United States – California, San Francisco
    • United States – California, San Diego
    • United States – Illinois, Chicago
    • United States – Massachusetts, Boston
      Employment Type: Full-time
      Posted: 1 Day Ago
      Job ID: 4927125
      Application Deadline: Ongoing

    Role Overview:

    The Senior Manager, Data Science & Analytics is responsible for driving data-driven insights to support commercial strategy, brand planning, and operational effectiveness within Pfizer’s Oncology Commercial Analytics team. This role involves advanced data analysis, model implementation, and collaboration with cross-functional teams to ensure data is leveraged effectively for business-critical decisions. The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, to inform and guide the strategic direction of the oncology franchise.

    Key Responsibilities:

    Data Analysis and Insights Generation:

    • Advanced Analytics: Develop and implement advanced analytics models using techniques such as machine learning, predictive modeling, and statistical analytics to derive insights into customer behavior, market trends, and product performance.
    • Secondary Data Analysis: Leverage external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights addressing key business questions.

    Data Management and Governance:

    • Data Asset Management: Collaborate with Commercial Information Management and data governance teams to ensure proper stewardship of data assets and the integration of new data to enhance decision-making.
    • Data Quality & Consistency: Ensure the quality, accuracy, and timeliness of data used for analysis by working closely with IT, Marketing, and cross-functional teams.
    • Data Sourcing: Work with the Director of Oncology Data Enablement to assess and identify relevant commercial data sources for analytics projects.

    Targeting and Segmentation:

    • Customer Segmentation: Apply advanced data science techniques to create customer segmentation strategies that optimize marketing and sales team targeting and resource allocation.
    • Engagement Optimization: Analyze customer behavior and market data to develop insights that improve engagement strategies.

    Brand Performance and Market Insights:

    • National-Level Reporting: Develop and maintain national-level brand performance reports, providing insights into market trends, competitive dynamics, and product performance.
    • Launch Support: Provide analytical support for product launches, including market analysis, competitive intelligence, and performance tracking.
    • Operational & Market Effectiveness: Analyze data to inform operational and market effectiveness, supporting optimization of marketing and sales operations.
    • Reporting & Dashboards: Create and manage executive-level reports and dashboards, effectively communicating key performance indicators (KPIs), market trends, and insights to decision-makers.

    Cross-Functional Collaboration & Stakeholder Engagement:

    • Cross-Functional Partnership: Collaborate with Marketing, Market Research Insights, Forecasting, Finance, and other teams to integrate data insights into broader strategic initiatives.
    • Stakeholder Communication: Present complex analytical insights to senior leadership, translating data into actionable recommendations that drive business decisions.

    Innovation and Continuous Improvement:

    • Process Improvement: Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance efficiency and accuracy.
    • Emerging Trends: Stay updated on industry trends and new data science techniques, integrating innovative approaches into data analysis.

    Vendor and Resource Management:

    • Vendor Collaboration: Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights.
    • Budget and Resource Allocation: Work with Data Science & Analytics leadership to manage budgets and allocate resources effectively.

    Basic Qualifications:

    • Education: Bachelor’s degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or related field.
    • Experience: Minimum of 7+ years in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical/biopharmaceutical industry. Post-graduate education may substitute for part of the work experience requirement.
    • Technical Skills: Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms like Tableau and Power BI.
    • Cross-Functional Experience: Proven ability to work with marketing, sales, IT, and other teams to integrate data insights into commercial strategies.
    • Leadership: Demonstrated leadership capabilities, including the ability to influence peers, mentor others, and guide teams to achieve meaningful business outcomes.

    Preferred Qualifications:

    • Oncology Expertise: Experience in oncology, with a strong understanding of market dynamics, customer behavior, and competitive trends.
    • Advanced Technical Skills: Experience with machine learning and predictive modeling techniques is highly desirable.
    • Advanced Degree: MBA or related advanced degree preferred.

    Skills and Competencies:

    • Analytical Mindset: Strong problem-solving and analytical skills with the ability to develop data-driven solutions.
    • Strategic Thinking: Ability to translate complex data into actionable insights that drive business decisions.
    • Communication: Excellent verbal and written communication skills for presenting data insights to leadership and cross-functional teams.
    • Project Management: Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.

    Compensation & Benefits:

    • Salary Range: $120,800.00 to $201,400.00 annually
    • Bonus: Eligible for Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary.
    • Benefits: 401(k) plan with Pfizer matching contributions, paid vacation, holidays, medical, dental, vision coverage, paid caregiver/parental leave, and more.
    • Relocation Assistance: Available based on business needs and eligibility.

    Equal Opportunity Employer:

    Pfizer is committed to equal opportunity employment, adhering to all applicable nondiscrimination laws and work authorization requirements.

    Job Category: Marketing and Market Research

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