Senior Manager, Marketing Analytics

AstraZeneca • Gaithersburg, MD

14d • Hybrid

About The Position

Are you ready to deliver the value and potential of our groundbreaking pipeline? As the Marketing Analytics Senior Manager, US Oncology, you will take lead of select marketing analytics within the US Oncology portfolio. Your role will be pivotal in driving commercial efficiency, advancing marketing excellence, improving our inline assets and accelerating new launches. You will collaborate closely with Marketing, Omnichannel, Data Science, Market Research, Forecasting, Finance, Market Access, and Data Management teams to deliver innovative insights and optimize brand strategies and investment decisions. Your leadership experience enables you to efficiently scope, prioritize, manage, and negotiate projects across the AZ oncology portfolio. You will lead highly complex projects, often independently, while providing technical mentorship and business translation support to junior Analytics Managers. You will consistently drive innovation in analytics approaches and promote best practices across the broader organization. This role reports to the Sr. Director, Forecasting & Performance, and sits within the Analytics, Data & Reporting function of US Oncology’s Business Excellence department, an inclusive and collaborative team that enables strategic commercial decision-making through objective, data-driven insight generation. Accountabilities: This individual will synthesize complex data to derive critical insights for brand performance, strategy effectiveness, and underlying drivers to inform commercial strategic decision-making. Your expertise managing large-scale datasets and conducting sophisticated quantitative data analysis enables you to lead the design, execution, and delivery of actionable recommendations through compelling storytelling and impactful data visualization.

Requirements

• Bachelor’s degree, with a preference for a quantitative field.
• 3+ years of experience at a pharmaceutical/biotechnology manufacturer or working in the biopharmaceutical industry.
• 3+ years of analytics, statistics, or data science experience.
• Direct experience implementing BI visualization tools (PowerBI, Tableau, Qlik, MicroStrategy, etc.).
• Deep marketing analytics experience, including omnichannel and campaign analytics, preferably including experience outside of pharma.
• Specialized, advanced technical skills (e.g., coding proficiency in Python or R for marketing analytics use cases).
• Leadership experience managing cross-functional teams and overseeing project execution.
• Strong business acumen, including understanding of marketing data KPIs and investment optimization strategies.
• Strong storytelling skills with the ability to translate complex technical analyses into clear, actionable business insights.

Nice To Haves

• Advanced quantitative or marketing analytics degree preferred.
• Expertise in at least one statistical/data analysis language (Python or R).
• Experience working in Oncology.
• Experience with attribution modeling, customer journey analytics, and recommender systems.
• Project/program management expertise with demonstrated success leading complex initiatives across commercial and technical teams.

Responsibilities

• Establish and operationalize a variety of marketing analytics capabilities, including promotional mix, ROI, and other analyses.
• Aid omnichannel and brand marketing teams in defining campaign measurement criteria, assessing data requirements, and measurement feasibility.
• Enable performance tracking for standard KPIs (e.g., impressions, clicks, open rates, NPS at the campaign level) to provide a tactical view of executional performance.
• Develop and operationalize ROI/attribution methodologies across marketing channels (e.g., Promo Mix modeling, A/B testing, Customer Lifetime Value) to optimize investment strategies.
• Analyze omnichannel campaign and program data to identify areas of improvement, delivering actionable insights to enhance the HCP experience and optimize channel performance (e.g., customer journey analytics such as prescriber behaviors and channel interactions).
• Partner with GCO to internalize and scale marketing analytics capabilities, optimize vendor strategies, and mentor junior analytics team members.
• Collaborate with Data Science and Artificial Intelligence (DSAI) teams to pull forward and automate programs (e.g., recommender models, promotional mix modeling).

Benefits

• Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees