Director, Marketing Analytics

About the Role

Key Responsibilities

• Design and operationalize Marketing Mix Modeling (MMM) to measure channel impact on leads and key performance indicators; translate statistical findings into budget optimization plans and scenario guidance.
• Manage Marketing Tactic measurement frameworks, including Test & Learn, Pilots, Brand Lift, and A/B testing.
• Integrate GenAI and Machine Learning solutions into workflows to automate tasks, run predictive models, or enable self-serve analytics for marketers.
• Collaborate with media, strategy, and Brand teams to understand business objectives and align analytical approaches with strategic goals.
• Lead NPP Data science team and work with IM team to manage campaign analytics data from diverse sources, including promotional tactic data from consumers and healthcare professionals.
• Use statistical software and programming languages (e.g., R, Python) to conduct analysis and present findings.
• Partner with the Center of Excellence team to create visualizations for the Marketing 360 dashboard and provide regular updates on marketing tactics performance.
• Stay current with industry trends, emerging technologies, and best practices; propose and implement innovative techniques to enhance analytical capabilities.

Requirements

• Master's degree in Statistics, Data Science, Economics, Marketing, or a related field.
• 9+ years of experience in data analysis with a focus on marketing mix modeling or related fields.
• Proficiency in statistical software and programming languages such as Python, R, SAS, or MATLAB.
• Experience with data visualization tools like Power BI is a plus.
• Strong analytical and problem-solving skills with a solid understanding of statistical modeling techniques.
• Excellent verbal and written communication skills for presenting complex data to non-technical stakeholders.
• Meticulous attention to detail with a focus on data accuracy and integrity.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Nice to Have

• Experience with Bayesian methodologies.
• Experience with data visualization tools like Power BI.

Qualifications

• Authorization to work for any employer in the U.S. (no sponsorship available).

Benefits & Perks

• Eligible for short-term and/or long-term incentives.
• Medical, dental, vision insurance, disability and life insurance.
• 401(k) plan with company match.
• Tuition reimbursement program (select degrees).
• Company holidays and well-being benefits.
• Paid sick time, floating holidays, and vacation.
• Hybrid work schedule allowing up to 2 days/week telecommuting.