Associate Director, Commercial Analytics

Vera Therapeutics, Inc.

. Drive promotional effectiveness analytics for TRUTAKNA and inform the optimal level and mix of promotional investment across channels, audiences, and customer segments.

Posted 10/4/2026full-timeRemote • United StatesSenior💰 $145,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in promotional effectiveness analytics, including promotional response modeling and program ROI analysis, while leveraging advanced statistical and predictive modeling techniques. Proficient in utilizing AI tools to enhance analysis and reporting within the biotech or pharmaceutical sectors.

Highest-signal resume keywords

Promotional Effectiveness AnalyticsStatistical ModelingPatient-Based Demand ForecastingAdvanced ExcelAI Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Promotional Response ModelingProgram ROI AnalysisMarketing Mix ModelingDemand ForecastingStatistical AnalysisPredictive ModelingData AnalysisQuantitative AnalysisChannel MeasurementCampaign Measurement

Soft Skills

Excellent CommunicationStakeholder ManagementNegotiation SkillsInfluencing Executive AudiencesPrioritization

Tools & Technologies

TableauPower BIPythonSQLRCRM SystemsBI ToolsAnalytics PlatformsGenerative AI ToolsData Visualization Tools

Industry Keywords

BiotechPharmaceuticalCommercial AnalyticsMarket AccessPatient ServicesHealthcare Regulatory ComplianceData PrivacyPrimary Market ResearchSpecialty PharmacyNephrology

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Drive promotional effectiveness analytics for TRUTAKNA and inform the optimal level and mix of promotional investment across channels, audiences, and customer segments.
Build and interpret promotional response models, program ROI analyses, and channel and campaign measurement.
Develop marketing mix and promotional sequence optimization capability as promotional history accumulates.
Estimate sales impact of personal and non-personal channels using statistical and predictive modeling.
Design test-and-learn approaches where historical data is thin.
Ground segmentation, targeting, and customer prioritization in promotional responsiveness.
Support field sizing and deployment, territory alignment, goal setting, and incentive compensation design.
Analyze field activity and territory performance using quantitative KPIs and qualitative field insight.
Support patient-based demand forecasts, including patient funnel and patient flow models.
Pressure-test forecast assumptions using analog launch benchmarks, real-world data, and primary market research.
Reconcile demand signals with financial forecasts and supply planning inputs, explaining variances and assumption changes.
Build a coherent analytical view from CRM, field activity, patient services, HUB enrollment, market access, specialty pharmacy, and sales data.
Partner with Business Operations and IT on commercial data environment requirements.
Build reusable, well-documented analytics assets.
Apply AI and generative AI tools to accelerate analysis, automate recurring reporting, and synthesize unstructured inputs.
Evaluate AI-enabled analytics capabilities and vendor solutions.
Help establish responsible AI-use standards, including output validation, data privacy, and compliance guardrails.
Contribute analysis to launch reporting and sales quarterly business reviews.
Serve as an analytics partner across Business Operations, Marketing, Market Access, Sales, Patient Services, and Launch Excellence.
Deliver executive-level readouts for non-technical audiences.
Balance competing stakeholder priorities and negotiate scope and timing.
Partner with Legal and Compliance on healthcare regulatory, privacy, and data-use standards.

Requirements

What you’ll need

Advanced degree (MS, MPH, PhD, or MBA) in a quantitative, scientific, or business discipline preferred; a bachelor’s degree in a quantitative or scientific field with commensurate depth of experience will also be considered.
5+ years of commercial analytics, business insights, or commercial data experience on biotech or pharmaceutical commercial teams.
Demonstrated ownership of promotional effectiveness work, including promotional response modeling, program ROI, and channel or campaign measurement; exposure to marketing mix modeling or promotional sequence optimization a plus.
Experience supporting patient-based demand forecasting, including funnel or patient flow models.
Hands-on experience with real-world data assets, including anonymized patient-level data, claims, lab data, specialty pharmacy or HUB data, and syndicated prescription or shipment data.
Experience working with internal business data sources, including CRM and field activity data, patient services data, and market access or channel data.
Advanced Excel; proficiency with BI and visualization tools such as Tableau or Power BI; Python, SQL, R a plus.
Practical, current proficiency with AI tools applied to biotechnology commercial work, with specific examples of where they changed the speed or quality of an output.
Excellent written and verbal communication, with a track record of presenting to and influencing executive audiences.
Proven ability to manage multiple concurrent priorities across a broad stakeholder set with limited direction.
Preferred: depth in forecasting methodology, primary market research, specialty/rare disease or nephrology, immunology, or autoimmune product launches, small or mid-sized biotech experience, and analytics vendor/agency/offshore delivery team management.
This role is remote within the United States; approximately 25% periodic travel is expected for team meetings, sales meetings, and onsite collaboration weeks.

Benefits

Comp & perks

Annual performance incentive bonus
New hire equity
Ongoing performance-based equity
Medical insurance
Dental insurance
Vision insurance
401k match
Flexible time off
Paid holidays