INACTIVE
Full-Time
Director – Marketing Analytics
Posted on 11/15/2025
Bausch Lomb
Compensation Overview
$170k - $230k/yr
+ Incentives
No H1B Sponsorship
Bridgewater Township, NJ, USA
Hybrid
Hybrid: up to 2 days remote per week; 3 days on-site in Bridgewater, NJ.
Category
 Growth & Marketing (1) |
|---|
Required Skills
Power BI
Python
SAS
R
Machine Learning
A/B Testing
MATLAB
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
- Bayesian methodologies are a plus
- 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 abilities with a solid understanding of statistical modeling techniques and their application in marketing
- Excellent verbal and written communication skills with the ability to present complex data findings to non-technical stakeholders in a clear and engaging manner
- Meticulous attention to detail with a strong focus on data accuracy and integrity
- Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment
Responsibilities
- Marketing Mix Modeling and optimization: Design and operationalize MMM to measure channel impact on leads and priority KPIs; translate rigorous statistical findings into budget optimization plans, and scenario guidance. Use model outputs to recommend adjustments and improvements to marketing strategies
- Campaign Analytics: Manage Marketing Tactic measurement framework. These involve Test & Learns, Pilots, Brand Lift, A/B testing, etc.
- AI-Enabled Analytics: Bring GenAI and ML solutions into the workflow where they add real value — whether that’s automating Omnichannel orchestration tasks, running predictive models, or enabling self-serve analytics for marketers
- Stakeholder Management: Work closely with media, strategy, and Brand teams to understand business objectives and align analytical approaches with strategic goals. Participate in meetings to discuss insights and drive data-driven decision-making
- Vendor Management: Lead NPP Data science team and work closely with IM team to manage Campaign analytics data from diverse sources, including, promotional tactic data from Consumer and Health care professionals. Employ statistical software and programming languages (e.g., R, Python) to conduct rigorous analysis and present findings
- Reporting & Visualization: Collaborate with the COE (Center of Excellence) team to manage the Marketing 360 dashboard, creating visualizations that effectively present complex analytical insights in a clear and actionable way. Provide regular updates to Omnichannel Brand leads on the performance of marketing tactics and key support initiatives they oversee
- Research & Innovation: Stay current with industry trends and emerging technologies, and best practices in Decision science space. Propose and implement innovative techniques to enhance analytical capabilities
INACTIVE