Qualifications & Experience Bachelor's degree in Business, Analytics, Economics, Statistics, Data Science, Marketing Analytics, or a related quantitative field 4-6+ years of experience in business intelligence, customer analytics, marketing analytics, growth analytics, or a related data-driven role Experience in retail, footwear, apparel, eCommerce, loyalty, or another high-volume consumer business is strongly preferred Advanced SQL skills and strong proficiency in Excel or Google Sheets Strong experience with BI and visualization platforms such as Tableau, Looker, or Power BI Hands-on experience with CRM/lifecycle platforms, loyalty data, customer data platforms, BI tools, and digital measurement inputs such as GA4 or app analytics Experience analyzing customer segmentation, retention, LTV, attribution, campaign performance, and lifecycle behavior Strong understanding of multi-channel marketing measurement Experience designing and evaluating A/B tests or controlled experiments Familiarity with modern data warehouses such as Snowflake or BigQuery Familiarity with Python, R, or advanced statistical modeling is a plus Proven ability to turn complex data into clear, actionable insights for non-technical audiences What You Bring You are naturally curious and want to understand why the numbers are moving, not just report that they moved You are highly analytical but commercially minded - you understand that the goal is better business decisions, not more dashboards You are comfortable getting hands-on with data and digging into the details yourself You can translate complicated analyses into simple, compelling stories You proactively surface insights, risks, and opportunities rather than waiting to be asked You thrive in a fast-paced, entrepreneurial environment where priorities can change quickly You are organized, detail-oriented, and able to manage multiple analytical workstreams at once You are collaborative, low ego, and enjoy partnering with both creative and highly technical teams You bring a test-and-learn mindset and are always looking for ways to make the business smarter Benefits The annual base salary range is $90,000.00-$95,000.00 This range represents the anticipated low and high end of the salary for this position. You'll be responsible for bringing together customer, loyalty, store, digital, marketing, merchandising, and financial data to create clear reporting, identify trends and opportunities, and help teams make smarter decisions faster.