Associate Director, Quantitative Analytics & Insights

Jobtailor; North Carolina; On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in the United States seeks a senior analytics leader to partner with Commercial leadership. You will drive analytics for portfolio optimization, TA strategy, and brand performance, and build sophisticated scenario models and demand forecasts.

You will tell the story of the numbers to senior leadership and work with data teams to unify fragmented data sources. The role requires advanced quantitative degrees and extensive pharma analytics experience, including SQL, Python or R, and

Qualifications

• Advanced quantitative degree required (MS/PhD/MBA).
• 7+ years in pharma/biopharma consulting or agency space.
• 4-6+ years in hands-on commercial analytics or insights.
• Experience with demand forecasting, competitive intelligence, and scenario modeling.
• Hands-on SQL required.
• Python or R plus Tableau/Power BI preferred.
• Familiarity with US pharma data sources (IQVIA, Komodo, Symphony).

Responsibilities

• Serve as the primary analytics partner to Commercial leadership.
• Translate business challenges into analytics-driven solutions.
• Lead analytics for portfolio optimization, TA strategy, and in-line brand performance.
• Develop scenario models, competitive assessments, and demand forecasts.
• Inform long-range planning, launch strategy, and supply/channel mix decisions.
• Design advanced models to measure ROI and optimize resources.
• Tell a clear, compelling story to senior leadership.
• Collaborate with data teams to integrate fragmented data into a holistic view.

Education

MS/PhD/MBA in Data Science, Statistics, or Economics

Tools

SQL

Python or R

Tableau or Power BI

Job description

Responsibilities

• 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

• 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

Core Competencies

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.