Associate Director, Quantitative Analytics & Insights

Grifols

Associate Director leading quantitative analytics for Grifols, a global healthcare company. Transforming complex data ecosystem into actionable insights and strategic recommendations.

Posted 7/13/2026full-timeRTP • North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in commercial analytics and data science, with a strong focus on demand forecasting, competitive intelligence, and scenario modeling. Proficient in translating complex data analyses into actionable insights for senior leadership in the pharmaceutical and life sciences sectors.

Highest-signal resume keywords

Advanced Degree in Data Science, Statistics, or Economics7+ Years in Pharmaceutical or Life Sciences ConsultingHands-On Proficiency with SQLHigh-Level Proficiency in Python or RExperience with US Pharmaceutical Data Sources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Demand ForecastingScenario ModelingCommercial Effectiveness AnalyticsCompetitive IntelligenceAnalytics-Driven Solutions

Soft Skills

Superior Communication SkillsStorytelling SkillsCollaborative Leadership

Tools & Technologies

SQLPythonRTableauPower BI

Certifications & Qualifications

Advanced Degree (MS, PhD, or MBA)

Industry Keywords

PharmaceuticalBiopharmaLife SciencesRare DiseasePlasma-Derived Therapies

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Serve as a primary insights partner to Commercial leadership
Proactively identify business challenges and translate them into analytics-driven solutions
Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand performance
Personally develop and oversee the creation of sophisticated scenario models, competitive assessments, and demand forecasts
Inform long-range planning, launch strategy, and supply/channel mix decisions
Design and implement advanced models for commercial effectiveness (e.g., Mix Modeling, Sales Force Effectiveness/SFE, cross-channel analytics) to measure ROI and optimize resource allocation
Act as the primary "storyteller," translating complex analyses from disparate data sources into a clear, compelling, and actionable narrative for senior leadership
Be a hands-on, collaborative leader, working with data teams to integrate fragmented data sources into a holistic view of the business

Requirements

What you’ll need

Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred
7+ years of progressive experience in the pharmaceutical, biopharma, life sciences consulting or agency space
4 - 6+ years of dedicated experience in a hands-on commercial analytics, data science, decision support, or insights function
Experience in the rare disease, plasma-derived therapies, or specialty biologics market is a significant advantage
Hands-on proficiency with SQL is required
High-level proficiency in a data science language (Python or R) and data visualization tools (Tableau or Power BI) is strongly preferred
Deep familiarity with US pharmaceutical data sources (e.g., IQVIA, Komodo, Symphony, patient-level data (PLD), specialty pharmacy/distributor data)
Demonstrated mastery in demand forecasting, competitive intelligence, scenario modeling, and commercial effectiveness analytics
Superior communication and storytelling skills; you must be able to build a narrative from the numbers

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off