Marketing Analytics Manager

The Role

The Marketing Analytics Manager leads a team of data analysts that deliver actionable insights across Marketing, Digital Experience, and Retail. This role turns member data into clear recommendations that drive growth, engagement, and retention.

Responsibilities

• Lead, coach, and develop a team of analytics professionals supporting marketing, and bringing data to life across digital and branch partners
• Own analytics for campaigns, promotions, membership growth, engagement, channel performance, media return on investment (or ROAS, RPMDS), inactivity, and churn
• Partner with marketing and digital leaders to define measurement strategies, success metrics, and test design
• Drive advanced analysis using statistical methods to identify drivers of acquisition, engagement, and attrition
• Translate data into compelling stories, insights, and recommendations for executives and frontline leaders
• Design, build, and maintain dashboards that enable self-service insights and performance tracking
• Ensure data quality, consistency, and clear metric definitions across teams
• Prioritize and plan work using agile principles, balancing quick wins with long term analytics capability building
• Influence decision making by challenging assumptions and grounding recommendations in data
• Continuously improve analytics processes, tools, and standards

Requirements

• Bachelors (Required)
• Any equivalent combination of experience and education.
• Required 2+ years of experience managing and developing analytics teams
• Required 7+ years of experience in data analytics, business intelligence, or related role

Qualifications

• Bachelors (Required)
• Any equivalent combination of experience and education.
• Required 2+ years of experience managing and developing analytics teams
• Required 7+ years of experience in data analytics, business intelligence, or related role

Skills

• Deep analytics expertise
• Strong leadership skills
• Ability to translate complex analysis into decisions leaders will use
• Statistical methods for advanced analysis
• Ability to tell compelling stories, insights, and recommendations
• Data quality, consistency, and clear metric definitions
• Agile principles for prioritizing and planning work
• Challenging assumptions and grounding recommendations in data
• Continuous improvement of analytics processes, tools, and standards

Benefits

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pay

Competitive salary based on experience and qualifications.

Schedule

This position is a hybrid model with a minimum of 40% onsite expectation. The schedule is Monday - Friday.