Senior Manager, Marketing Analytics Lead
Date: Mar 31, 2025
Location: US-NJ-Bridgewater, New Jersey, US
Company: Bausch + Lomb
Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world—from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
Overview
We are seeking a skilled and motivated Senior Analytics Manager with a specialization in Marketing Campaign analytics, Marketing Mix Modeling (MMM) to join our analytics team. In this role, you will leverage advanced statistical techniques and data-driven insights to evaluate and optimize our marketing strategies. You will work closely with cross-functional teams to assess the impact of various marketing channels and campaigns, driving actionable recommendations that enhance ROI and overall marketing effectiveness.
Key Responsibilities
- Marketing Mix Modeling: Develop, implement, and refine marketing mix models to quantify the impact of different marketing channels on leads and other key performance indicators (KPIs). Use statistical methods to analyze data and derive insights that inform marketing strategy.
- Campaign Analytics : Manage Marketing Tactic measurement framework. These involve Test & Learns, Pilots, Brand Lift, A/B testing, etc.
- Data Analysis & Interpretation: Work with IM team, 3rd party vendors 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.
- Collaboration: 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.
- Optimization: Continuously monitor and assess the performance of marketing campaigns, identifying opportunities for optimization. Use model outputs to recommend adjustments and improvements to marketing strategies.
- Research & Innovation: Stay current with industry trends, emerging technologies, and best practices in marketing analytics and mix modeling. Propose and implement innovative techniques to enhance analytical capabilities.
Qualifications
- Education: Master's degree in Statistics, Data Science, Economics, Marketing, or a related field.
- Experience: 5-10 years of experience in data analysis with a focus on marketing mix modeling or related fields. Demonstrated expertise in using statistical methods and tools to drive marketing insights. Bayesian methodologies are a plus.
- Technical Skills: 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.
- Analytical Skills: Strong analytical and problem-solving abilities with a solid understanding of statistical modeling techniques and their application in marketing.
- Communication: Excellent verbal and written communication skills with the ability to present complex data findings to non-technical stakeholders in a clear and engaging manner.
- Attention to Detail: Meticulous attention to detail with a strong focus on data accuracy and integrity.
- Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
Note: This role is eligible for our hybrid work schedule allowing for up to 2 days/week of telecommuting from home and 3 days/week in our Bridgewater, NJ corporate office.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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