Shop Business Insights Analyst

Dutch Bros Coffee•Phoenix, AZ
•Hybrid

About The Position

The Shop Business Insights Analyst serves as the strategic analytics partner for Operations, turning operational, workforce, customer, and financial data into actionable recommendations. The role develops operational insights to improve shop profitability, optimize labor performance, enhance crew member and customer experience, and support scalable growth across Dutch Bros shops. It also defines and validates standards for good performance using real data before those standards are adopted. The analyst partners with Regional Operators, Business Coaches, AVPs, Finance, People teams, and Executive Leadership to identify opportunities, measure performance, and influence decisions through data-driven storytelling, forecasting, and KPI management. The role analyzes shop performance and profitability, supports workforce planning and labor optimization, governs operational metrics and reporting, and provides strategic decision support. The position is located in Tempe, Arizona, and requires working in the office four days per week, Monday through Thursday. Fridays are optional remote work days. The role involves a busy, potentially crowded and loud office, frequent distractions, in-person collaboration, and typical office conditions. Physical demands include sitting, standing, reaching, twisting, stretching, working at a desk for extended periods, and occasionally moving or lifting office items up to 25 pounds. The position also requires adequate hearing and vision (correctable if needed), English reading and writing proficiency, technology proficiency, and effective verbal and written communication.

Requirements

  • 3–5 years of experience in business intelligence, operations analytics, workforce analytics, financial analysis, or data analytics roles.
  • Bachelor’s degree in Business Analytics, Economics, Finance, Statistics, Mathematics, Data Science, or a related quantitative discipline.
  • Experience influencing business decisions through analytics and executive-level recommendations.
  • Advanced SQL proficiency and Excel modeling skills.
  • Experience with Power BI, Tableau, Python, Streamlit, or equivalent dashboard development.
  • Experience working with Snowflake, BigQuery, or enterprise data warehouses.
  • Experience developing forecasting and labor optimization models and designing experiments, such as A/B testing or difference-in-differences.
  • Familiarity with workforce analytics, turnover metrics, scheduling efficiency, and profitability reporting.
  • Ability to work in a busy, crowded, and loud office with frequent distractions and interruptions.
  • Ability to collaborate in person, including occasional impromptu meetings.
  • Ability to sit, stand, reach, twist, stretch, work at a desk for extended periods, and occasionally move or lift office items up to 25 pounds.
  • Adequate or correctable hearing and vision for essential job duties.
  • Ability to read and write in English and proficiency in written communication.
  • Proficiency operating a computer and office productivity tools such as printers, scanners, and collaboration software.
  • Strong verbal and written communication skills for interacting with team members and other stakeholders.

Nice To Haves

  • Experience supporting multi-unit retail, restaurant, hospitality, consumer services, or QSR operations.

Responsibilities

  • Analyze shop-level sales, labor, productivity, turnover, customer experience, and profitability metrics.
  • Identify trends, risks, and opportunities that affect operational performance.
  • Deliver recommendations to improve shop performance and financial outcomes.
  • Conduct regional and market-level performance comparisons.
  • Analyze labor utilization, scheduling effectiveness, and staffing levels.
  • Develop workforce planning recommendations that support growth and profitability.
  • Partner with Operations and People teams to identify drivers of retention and engagement.
  • Build labor forecasting models to support seasonal demand.
  • Define, maintain, and govern operational metrics through the Vibe Check metric system, establishing thresholds and variance definitions grounded in observed data distributions.
  • Distinguish structural metric issues from one-off exceptions and recommend metric redesign or exception-specific follow-up as appropriate.
  • Ensure consistent KPI definitions across regions.
  • Drive data quality and reporting accuracy.
  • Advise Regional Operators, Business Coaches, and AVPs using analytics.
  • Measure the ROI of operational programs with cross-functional partners.
  • Conduct scenario modeling and forecasting.
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