Senior Manager, Business Insights & Analytics, Alzheimer's

Biogen

Senior Manager shaping Alzheimer’s commercial strategy through healthcare data and advanced analytics at Biogen, a biotechnology company. Guiding marketing, sales, forecasting, and franchise decisions with actionable insights.

Posted 8/5/2026full-timeCambridge • Massachusetts • 🇺🇸 United StatesSenior💰 $142,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging healthcare and pharmaceutical datasets to drive strategic business insights and recommendations. Proficient in modern analytical approaches, including SQL and Python, to support commercial planning and decision-making.

Highest-signal resume keywords

SQLPythonHealthcare AnalyticsData-Driven InsightsBusiness Performance Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingPredictive ModelingSegmentation FrameworksOmnichannel AnalyticsForecastingPromotion Effectiveness EvaluationCustomer Engagement AnalysisMarket Dynamics AnalysisBusiness Performance Metrics

Soft Skills

CommunicationInfluencing StakeholdersFact-Based StorytellingCross-Functional CollaborationStrategic Thinking

Tools & Technologies

Power BISnowflakeDatabricksPurpleLabKomodoIQVIAMMITSymphonyVeeva

Industry Keywords

PharmaceuticalBiotechnologyHealthcareMarket AccessCommercial EffectivenessPatient AnalyticsAlzheimer's DiseaseLife SciencesManagement ConsultingData Governance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as a trusted analytics partner to marketing, sales, market access, and franchise leadership teams
Identify opportunities to improve business performance through data-driven insights and strategic recommendations
Translate business questions into analytical approaches that drive action and measurable impact
Support commercial planning and decision-making through analysis of market dynamics, customer behavior, competitive activity, and business performance
Design and execute analytics evaluating promotion effectiveness, customer engagement, patient journey dynamics, targeting strategies, and market opportunities
Leverage pharmaceutical and healthcare datasets, including claims, specialty pharmacy, call activity, payer, and longitudinal patient data
Develop insights explaining business performance and identifying growth and risk drivers
Integrate quantitative and qualitative information into actionable business narratives
Partner with data, technology, and analytics teams to improve capabilities, automate reporting, and enhance data accessibility
Apply modern analytical approaches using SQL, Python, Snowflake, Databricks, Power BI, and emerging AI-enabled analytics capabilities
Champion best practices in data quality, analytics governance, and insight generation
Develop executive-ready presentations and recommendations for senior commercial leaders
Communicate complex analyses to technical and non-technical audiences
Influence cross-functional stakeholders through fact-based storytelling and strategic insight generation
Report to the Director, Integrated Insights & Analytics, Alzheimer’s

Requirements

What you’ll need

Bachelor's degree in Analytics, Data Science, Statistics, Economics, Computer Science, Business, Life Sciences, or a related discipline
5+ years of experience in pharmaceutical, biotechnology, healthcare analytics, management consulting, or a related analytical discipline
Demonstrated experience transforming complex data into strategic business recommendations
Strong experience working with healthcare or pharmaceutical datasets, including claims, patient-level, HCP-level, payer, or commercial data assets
Hands-on experience with SQL and modern analytics platforms
Experience communicating analytical findings to business stakeholders and senior leadership
Proven ability to manage multiple complex workstreams in a fast-paced environment
Preferred: experience supporting neurology, specialty pharmaceutical, or Alzheimer's disease businesses
Preferred: experience with PurpleLab, Komodo, IQVIA, MMIT, Symphony, Veeva, or similar healthcare datasets
Preferred: experience in forecasting, customer analytics, omnichannel analytics, field force effectiveness, patient analytics, or commercial effectiveness
Preferred: experience developing predictive models, segmentation frameworks, or AI-enabled analytical solutions
Preferred: experience working within cross-functional teams spanning Commercial, Marketing, Market Access, Medical, Finance, and Patient Services
Preferred: advanced degree in Business, Analytics, Data Science, Statistics, Life Sciences, or a related discipline
Must be eligible to work in the United States as an E-Verify employee

Benefits

Comp & perks

Short-term and long-term incentives, including cash bonus and equity incentive opportunities
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation
Additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation
Opportunities for learning, growth, and expanding skills