Senior Manager, Marketing Science Job at BioLife Plasma Services (Bannockburn)

Job Description

The Sr. Manager of Marketing Science drives and executes strategic initiatives that improve our marketing data and analytics capabilities. This role will leverage advanced analytics techniques and data-driven insights to inform marketing strategies, optimize campaigns, and drive business growth. This role requires a deep understanding of paid, owned, and earned media measurement, strong analytics and insights skills, broad knowledge of marketing technologies, and the ability to communicate complex data insights to senior stakeholders. This role is critically important for the success of the Global Forecasting, Pricing, and Analytics (FPA) team and reports to the Head of Analytics within the team.

Job Responsibility

Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations
Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing
Ability to perform statistical analyses and tests to quantify the business value of an opportunity
Familiarity with AI/ML applications in marketing
Ensure the accurate and timely delivery of marketing performance reports and insights
Able to translate data into contextualized insights that can be shared across the business
Know digital media terminology and concepts (e.g., Demand Side Platforms (DSPs), effectiveness vs. efficiency, SEO/SEM, etc.)
Leverage existing experience with Google Analytics and Google Tag Manager
Partner with the Data, Digital, and Technology (DD&T) Team to ensure marketing data accuracy, integration, and integrity, and that good data governance practices are in place
Develop solutions (dashboards, data visualizations, reports) for real-time operations performance assessment and agile decision-making
Design and automate regular data extracts needed by marketing and other partners
Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams
Manage and/or partner on projects with vendors and consultants

Requirements

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
Extensive experience across many areas of marketing science
MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media
Experience with SQL, Python, and R for data analysis and model development
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.)
classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques
experimental design
and forecasting/sensitivity analysis
Comfortable working daily in cloud-based data platforms
Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting
Experience working with Power BI, Tableau, or other data visualization software
Strong foundation in statistical techniques for quantifying the impact of marketing activities
High self-reliance, self-efficacy, initiative, and learning agility
Strong at both structured and unstructured problem solving
Domestic travel required (up to 10%)

Nice to have

Media agency or retail industry analytics experience
Experience with survival analysis (time-to-event, duration, event history analysis, etc.)
Knowledge of CRM systems and marketing automation tools

What we offer

Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time per calendar year
Accrue up to 120 hours of paid vacation (for new hires)

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Senior Manager, Marketing Science

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