HIGH autonomy and ownership + BUILD predictive analysis from ground up + Must relocate to Minneapolis area + Generous Bonus + Equity

This Jobot Job is hosted by: Chelsea Piekarski Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $175,000 - $225,000 per year

A bit about us:

This is a nationally recognized, market-leading consumer brand with a membership-driven model that fuels over 70% of its $3B+ revenue. They’re in high-growth mode, with a strong balance sheet, a passionate customer base, and a leadership team committed to becoming even more data-driven in how they grow and retain members.

Why join us? Unique opportunity to sit at the table with the executive leadership of a large organization Build + grow a brand new data and analytics function High impact Join an organization growing YoY by 20%+ Family + humble feel Deferred compensation plan, if the team member meets the required income threshold

Job Details

This role is located in Minneapolis, MN. It is posted nationally, with a complete white glove relocation package. For this role to be a fit, you must be willing to relocate.

We’re partnering with a market-leading consumer brand with a large national footprint to find a Director of Membership Planning & Analytics. This high-impact role will lead the analytical strategy that drives growth, retention, and revenue optimization across a 1.5M+ member base—representing over 70% of company revenue. You’ll own end-to-end forecasting, predictive modeling, and insights to guide new member acquisition, churn prevention, and cohort performance.

This role blends corporate finance and advanced analytics, requiring someone who can apply data science and predictive modeling to real-world business challenges—and communicate those insights with confident executive presence. You’ll lead a small, high-performing team and partner cross-functionally with Finance, Technology, Marketing, and Operations to transform data into actionable strategies.

Key Responsibilities Lead development of membership forecasting models, incorporating pricing, promotions, and lifecycle trends Apply machine learning and predictive analytics to optimize retention, conversion, and member value Conduct cohort analysis and churn modeling to identify trends and business opportunities Partner with cross-functional teams to improve data quality and access, enabling faster decision-making Deliver compelling dashboards, decision-support tools, and executive-ready visualizations Present revenue and performance insights to senior leadership, shaping company strategy Coach and develop a technical analytics team to elevate their capabilities

Qualifications Bachelor’s degree in Finance, Business, Data Science, or related field; advanced degree preferred 10+ years’ progressive business experience, including 5+ years in applied data analytics or predictive modeling Strong technical background with preference in SQL and Python, plus advanced Excel skills for complex forecasting Proven ability to synthesize large datasets into clear insights and executive presentations Data visualization experience (Tableau, Power BI, Domo, or similar) Experience in membership/subscription-based or multi-unit consumer business models strongly preferred Confident communicator with the ability to influence senior stakeholders

Compensation & Benefits Base + annual performance bonus + discretionary equity awards Comprehensive relocation package available - white glove service! Full suite of health, wellness, and retirement benefits, plus product/service discounts

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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