Director, Marketing Analytics - Pharmaceutical Marketing Agency

Are you ready to take the next step in your digital advertising career where your expertise is valued, your ideas are heard, and your impact is tangible? At Deerfield, we believe in fostering a culture of excellence, where every team member is empowered to make a difference and contribute to our collective success.

Deerfield is the marketing and communications partner of choice. Purpose-built to scale with our clients, our specialist teams craft stories that matter and bridge meaningful connections to advance healthcare products to the people who need them most. Our full-service capabilities are rooted in storytelling and powered by technology to deliver focused strategy, optimized execution, and tangible outcomes. Our flexible working model allows us to grow alongside our clients - whether providing expert consultation, serving as a strategic executional partner, or acting as a full agency of record.

We are built to serve and designed to deliver.

We are seeking an experienced Analytics Leader to drive our statistical modeling capabilities within the pharmaceutical marketing landscape. In this pivotal role, you will leverage your deep expertise in media and marketing data to develop advanced models that quantify the impact of non-personal promotion (NPP), media investments, and digital engagement. The ideal candidate is a true "player-coach" who thrives on balance - seamlessly pivoting between hands‑on technical modeling, strategic collaboration with account teams, and the mentorship of junior analysts to foster the next generation of data talent.

Candidates must be currently located in, or willing to relocate to, Pennsylvania (PA), New York (NY), New Jersey (NJ), or Delaware (DE). Only applicants residing in these states will be considered.
Key Responsibilities

Partner closely with media strategists, account leads, and client teams to identify optimization opportunities and guide client marketing investment decisions

Develop attribution methodologies that connect promotional investments to prescribing and usage behavior at the HCP or audience‑segment level

Build and maintain advanced statistical models (regression, time series, causal inference, media mix models) to evaluate the impact and ROI of non‑personal promotional channels

Analyze large and often imperfect pharmaceutical datasets, flexing to client‑specific data transparency and quality constraints

Translate model outputs and analytical findings into clear, actionable recommendations for marketing, media, and client teams

Mentor analytics team members in statistical best practices, coding standards, model development, and documentation

Establish and evolve data science best practices to create repeatable, scalable modeling frameworks across clients

Collaborate with internal team members and external partners to ensure clean data pipelines which support analytics needs

Qualifications

Bachelor’s degree in Data science, Statistics, Computer Science, or a related field

Proven experience in pharmaceutical, biotech, or healthcare marketing sectors is required

8+ years of experience in data science or advanced analytics

Experience leading teams preferred

Required Skills

Strong proficiency in statistical modeling, including regression, time‑series, causal methods, and media mix modeling

This leader understands the realities of pharmaceutical data constraints and is comfortable flexing between sophisticated statistical work and more foundational analytics when client data availability is limited

Deep familiarity with pharmaceutical marketing data, including Rx, HCP-level activity data, audience targeting

Hands‑on skills with SQL and Python or R for data extraction, transformation, modeling, and automation

Ability to work with varying levels of data transparency and completeness across different pharma clients

Solid understanding of media performance, measurement frameworks, and pharma promotional compliance considerations

Experience analyzing large, multi‑source datasets and building model-ready data structures

Strong communication skills to translate technical outputs into clear business insights for internal and client stakeholders

Ability to coach and mentor junior team members in analytics and modeling

Preferred Skills

Familiarity with media platforms and planning tools and frameworks

Experience building automation or reusable analytical frameworks

Exposure to cloud analytics environments (e.g., Azure)

At Deerfield, we are dedicated to building a diverse, inclusive, and authentic work environment, so if this role and our culture excite you,

Our HR team will review your resume and experience to see if you align at a different level or possibly better align to other open positions.

Deerfield is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

#J-18808-Ljbffr