Data & Analytics Manager

Overview

The organization is seeking a curious, commercially minded analytics leader to join the U.S. Finance team. This role turns cafe, digital, and product data into tools and insights that help internal teams run and grow the business.

You will work closely with Cafe Operations, Digital & Product, and Engineering to build trusted data foundations and deliver a clear view of the business, guests, and products.

This position is remote with a preference for candidates located in Pacific Time. Employees are required to be based within 50 miles of one of the following established geographic locations:

• San Francisco Bay Area
• Sacramento
• Los Angeles
• San Diego
• Boston
• Chicago
• Washington DC Metro
• New York City Metro
• Las Vegas

Responsibilities

• Set the data and analytics roadmap, partnering with Engineering on infrastructure, KPI definitions, and a single source of truth.
• Drive the organization’s AI reporting and analytics agenda, using tools such as Claude to help management teams quickly analyze performance and act on insights.
• Lead guest analytics across the app, ordering, subscriptions, and loyalty, connecting digital and in-cafe behavior.
• Build dashboards and tools that help Cafe Operations track sales, traffic, labor, and speed of service.
• Partner with Digital & Product to design and evaluate A/B tests for features, offers, and personalization.
• Analyze menu mix, pricing, and launch performance to shape product decisions.
• Support planning, forecasting, and business cases with clear, data-driven recommendations for senior leaders.

Requirements

• 6+ years in analytics, data science, or business intelligence, ideally in hospitality, retail, or food and beverage.
• Expert SQL and experience with modern data and BI tools and ERP/Planning systems (e.g., Snowflake, dbt, Sigma or Tableau, Netsuite, Adaptive).
• Python or R a plus.
• Experience using AI tools such as Claude to speed up analysis, automate reporting, or make insights self-serve for business teams.
• Experience with POS, loyalty, or digital ordering data, and with experiment design.
• Strong commercial acumen and an understanding of P&L drivers.
• Excellent communication and influencing skills across functions and levels.
• A genuine passion for exceptional coffee, hospitality, and creating experiences that people love.

Preferred Qualifications

• Experience delivering analytics and reporting roadmaps in a cross-functional environment.
• Demonstrated ability to make complex analysis simple and drive clarity across functions.

Compensation & Benefits

Salary Range

• $112,000 - $166,000 a year

This position has a salary range of $120,000 - $166,000 in California and NYC and $112,000 - $155,000 in our other market areas. This salary range is a good-faith estimate of what the organization reasonably expects to pay upon hire. The final salary offer will be determined after reviewing relevant factors, including a candidate’s qualifications and experience, and where appropriate, location.

Benefits (for eligible employees)

• Comprehensive health, dental, and vision coverage starting on your first day
• Best-in-class coffee training and continuing education
• Free membership into the Specialty Coffee Association of America and discounts on events (including Expos and Championships)
• 401(k) plan
• Paid time off & paid volunteer hours
• 50% discount on all products (online and in-cafe), including food, beverages, whole-bean coffee, and merchandise
• Flexible spending account & commuter benefits
• Employee Assistance Program
• Additional benefits information

Equal Opportunity / Compliance

• The organization is an Equal Opportunity Employer and does not tolerate discrimination or harassment.
• ADA accommodations and reasonable religious accommodations are available.
• The organization participates in E-Verify and requires completion of Form I-9 after an offer is accepted.
• Employment-qualified applicants with arrest and conviction records will be considered.
• The organization may use AI tools during parts of the hiring process (e.g., reviewing applications and analyzing resumes), with final hiring decisions made by humans.