Senior Manager, Commercial Analytics – Business Intelligence

DBV Technologies

. Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes for launch performance .

Posted 9/24/2026full-timeWarren • New Jersey • United StatesSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in pharmaceutical analytics and commercial operations, with a strong focus on advanced SQL, Python, and BI tools for data-driven decision-making. Proven ability to translate complex analyses into actionable insights and influence stakeholders in a fast-paced environment.

Highest-signal resume keywords

Advanced SQL ProficiencyStrong Python SkillsExperience with BI ToolsPharmaceutical Product Launch SupportExceptional Executive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData EngineeringPredictive ModelingStatistical AnalysisData Science MethodologiesKPI DevelopmentVariance ReportingTrend AnalysisData Governance

Soft Skills

Executive CommunicationStorytellingInfluencing StakeholdersStrategic ThinkingHands-On Execution

Tools & Technologies

Power BITableauAWSAzureDatabricksSnowflakeXponentLAADClaims DataMarket Access Data

Certifications & Qualifications

Bachelor's Degree in Quantitative DisciplineAdvanced Degree (MBA, MS, or PhD) Preferred

Industry Keywords

Pharmaceutical AnalyticsCommercial OperationsBusiness IntelligenceHCP-Level TargetingSegmentationIncentive Compensation AnalyticsField Force EffectivenessEmerging BiotechHigh-Growth EnvironmentsGenerative AI

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes for launch performance
Develop KPI scorecards, trend analyses, and variance reporting for senior leadership business reviews
Translate complex, multi-source analyses into actionable executive recommendations
Integrate pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data into coherent business narratives
Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data
Support launch planning through HCP-level targeting, segmentation, and call-plan analytics
Provide incentive compensation analytics and field force effectiveness measurement
Evaluate targeting and segmentation model performance post-launch and recommend refinements
Partner with Forecasting and Finance on business scenarios, performance drivers, resource allocation, budgeting, long-range planning, and executive reporting
Drive data governance, documentation standards, and analytical best practices
Build scalable, automated pipelines and reporting to reduce manual effort and improve speed and accuracy
Identify AI use cases and apply LLMs, generative AI, agentic AI, automation, machine learning, and statistical methods to improve commercial processes and decisions
Partner with Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership

Requirements

What you’ll need

8–10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field
Advanced SQL proficiency, including writing, optimizing, and maintaining complex queries against large commercial datasets
Strong Python skills for data engineering, automation, analytics, and predictive modeling
Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools
Experience with IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access/payer data, and HCP-level targeting and segmentation datasets
Experience supporting pharmaceutical product launches, including targeting, segmentation, incentive compensation analytics, and field force effectiveness
Exceptional executive communication and storytelling skills; ability to influence cross-functional stakeholders without formal authority
Ability to operate in a fast-paced, ambiguous, prelaunch environment while balancing strategic thinking with hands-on execution
Bachelor's degree required, preferably in a quantitative discipline
Preferred: experience with specialty, immunology, allergy, rare disease, or biologic product launches
Preferred: familiarity with AWS, Azure, Databricks, Snowflake, or similar cloud-based analytics environments
Preferred: experience applying LLMs, generative AI, agentic AI, and automation tooling in commercial pharmaceutical organizations
Preferred: experience with statistical analysis, predictive analytics, and data science methodologies
Preferred: experience in emerging biotech or resource-constrained, high-growth environments
Preferred: advanced degree (MBA, MS, or PhD) in a quantitative or business discipline