Weissman
Senior Marketing Data + Analytics Manager
Weissman, Saint Louis, Missouri, United States, 63146
Senior Marketing Data + Analytics Manager
At Weissman, located in St. Louis, Missouri, we've been the heartbeat of the dance community for 60 incredible years. As a privately held, medium-sized company, we're not just another manufacturer – we're the driving force behind the dance industry's most stunning costumes and dancewear. From digital sketch to delivered product, we handle every step in‑house, infusing passion and expertise into every creation. What drives us? Our extraordinary team! We’re constantly investing in our people, products, and technology to stay ahead.
Location: St. Louis, Missouri (Hybrid – 70% On‑Site, 30% Work‑from‑Home)
Job Summary Weissman is seeking a Senior Marketing Data + Analytics Manager to transform information into strategic insight across our omnichannel business. This high‑impact leadership role defines and drives the vision for marketing and e‑commerce analytics – translating complex data into powerful stories that inform smarter decisions, sharper execution, and stronger business performance. Reporting to senior leadership, this role oversees a team of analysts and collaborates with partners across Marketing, E‑commerce, IT, and Operations to surface insights that shape Weissman’s growth strategy. The ideal candidate brings a deep understanding of segmentation, forecasting, and performance measurement, paired with the ability to mentor talent and elevate data literacy across the organization.
Responsibilities
Lead the vision, strategy, and roadmap for marketing and e‑commerce analytics, ensuring alignment with business objectives.
Translate complex data into actionable insights through compelling data visualizations and storytelling.
Oversee campaign performance analysis, including ROI, attribution, and customer lifetime value.
Identify strategic opportunities through deep‑dive analyses across customer behavior, channel performance, and market trends.
Drive circulation strategy and partner with third parties to ensure data hygiene and mailfile accuracy (CASS, DPV, LACS, NCOA).
Partner with IT to build predictive and e‑commerce forecasting models that inform strategic planning.
Lead segmentation initiatives that enhance targeting, personalization, and customer journey optimization.
Mentor and develop a team of analysts, promoting curiosity, innovation, and analytical excellence.
Collaborate cross‑functionally to embed analytics best practices across marketing and business functions.
Support enterprise‑wide data governance initiatives to maintain data quality, consistency, and compliance.
Qualifications
Education:
Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, or a related field required.
Master’s degree preferred.
Experience:
10+ years of progressive experience in customer or marketing data analytics.
Minimum of 3 years in a leadership role guiding analytics teams or strategy.
Proven experience in B2B and B2C omnichannel environments.
Demonstrated success leading strategic analysis projects and mentoring analytics professionals.
Knowledge, Skills & Abilities
Advanced knowledge of forecasting, segmentation, and marketing performance metrics.
Proficiency in SQL, Python, R, or SAS, with strong skills in Tableau or Power BI.
Expertise in data storytelling and visualization to communicate insights to all levels of stakeholders.
Strong collaboration skills with both technical and non‑technical teams.
Strategic mindset with passion for data innovation and building a high‑performing analytics culture.
What We Offer Full‑time salaried employees are eligible for a comprehensive benefits package that includes medical, vision (100% employer‑paid), dental, life insurance, short‑ and long‑term disability, and a Health Reimbursement Arrangement (HRA). We offer a 401(k) retirement plan with employer match, as well as Medical and Dependent Care Flexible Spending Accounts (FSAs). Paid Time Off (PTO), four floating holidays annually, and nine company‑observed holidays are also provided. Benefits also include paid parental and adoption leave, an Employee Assistance Program (EAP), and access to wellness and mental health services. Benefits begin the first of the month following 30 days of employment.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function & Industries Research, Analyst, and Information Technology; Retail Apparel and Fashion
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Location: St. Louis, Missouri (Hybrid – 70% On‑Site, 30% Work‑from‑Home)
Job Summary Weissman is seeking a Senior Marketing Data + Analytics Manager to transform information into strategic insight across our omnichannel business. This high‑impact leadership role defines and drives the vision for marketing and e‑commerce analytics – translating complex data into powerful stories that inform smarter decisions, sharper execution, and stronger business performance. Reporting to senior leadership, this role oversees a team of analysts and collaborates with partners across Marketing, E‑commerce, IT, and Operations to surface insights that shape Weissman’s growth strategy. The ideal candidate brings a deep understanding of segmentation, forecasting, and performance measurement, paired with the ability to mentor talent and elevate data literacy across the organization.
Responsibilities
Lead the vision, strategy, and roadmap for marketing and e‑commerce analytics, ensuring alignment with business objectives.
Translate complex data into actionable insights through compelling data visualizations and storytelling.
Oversee campaign performance analysis, including ROI, attribution, and customer lifetime value.
Identify strategic opportunities through deep‑dive analyses across customer behavior, channel performance, and market trends.
Drive circulation strategy and partner with third parties to ensure data hygiene and mailfile accuracy (CASS, DPV, LACS, NCOA).
Partner with IT to build predictive and e‑commerce forecasting models that inform strategic planning.
Lead segmentation initiatives that enhance targeting, personalization, and customer journey optimization.
Mentor and develop a team of analysts, promoting curiosity, innovation, and analytical excellence.
Collaborate cross‑functionally to embed analytics best practices across marketing and business functions.
Support enterprise‑wide data governance initiatives to maintain data quality, consistency, and compliance.
Qualifications
Education:
Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, or a related field required.
Master’s degree preferred.
Experience:
10+ years of progressive experience in customer or marketing data analytics.
Minimum of 3 years in a leadership role guiding analytics teams or strategy.
Proven experience in B2B and B2C omnichannel environments.
Demonstrated success leading strategic analysis projects and mentoring analytics professionals.
Knowledge, Skills & Abilities
Advanced knowledge of forecasting, segmentation, and marketing performance metrics.
Proficiency in SQL, Python, R, or SAS, with strong skills in Tableau or Power BI.
Expertise in data storytelling and visualization to communicate insights to all levels of stakeholders.
Strong collaboration skills with both technical and non‑technical teams.
Strategic mindset with passion for data innovation and building a high‑performing analytics culture.
What We Offer Full‑time salaried employees are eligible for a comprehensive benefits package that includes medical, vision (100% employer‑paid), dental, life insurance, short‑ and long‑term disability, and a Health Reimbursement Arrangement (HRA). We offer a 401(k) retirement plan with employer match, as well as Medical and Dependent Care Flexible Spending Accounts (FSAs). Paid Time Off (PTO), four floating holidays annually, and nine company‑observed holidays are also provided. Benefits also include paid parental and adoption leave, an Employee Assistance Program (EAP), and access to wellness and mental health services. Benefits begin the first of the month following 30 days of employment.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function & Industries Research, Analyst, and Information Technology; Retail Apparel and Fashion
#J-18808-Ljbffr