Data Analytics Manager

Rothy's • San Francisco, CA

75d • $155,000 - $182,000

About The Position

At Rothy’s, we know there’s a better way to do business, and it starts by putting the planet and its people first. More than 200 million single-use plastic bottles and 715,000 pounds of ocean-bound marine plastic have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don’t compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go. At Rothy’s, building a sustainable future is at the heart of everything we do. We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day.

Requirements

• 3-5 years of experience in analytics, business intelligence, or related roles
• Solid skills in analytical insight, stakeholder communication, storytelling with data, and data visualization
• A strong understanding of omni-channel business models (retail, eCommerce, marketplace)
• Expertise in SQL essential (window functions, CTEs, subqueries, performance optimization). Experience with Python is a plus
• Proficiency in Power BI, Tableau or Looker (dashboard creation, LookML preferred)
• Hands-on experience with Segment, Shopify Plus, and Amplitude
• A bachelor’s degree in Business, Analytics, Economics, Statistics, or related field (or equivalent experience)

Responsibilities

• Own and manage comprehensive sales reporting across eCommerce, retail, and marketplace channels, ensuring data accuracy and consistency
• Provide actionable insights to business stakeholders, helping guide decisions on channel strategy
• Proactively highlight risks and opportunities based on sales trends, customer behavior, and channel performance
• Collaborate cross-functionally to align reporting with evolving business goals and strategic initiatives
• Create data assets and automated alerting to monitor & reporting of key behavioral trends across channels (e.g., new vs. retained customer analytics)
• Conduct market basket analyses to identify purchase patterns and opportunities for cross-sell/upsell
• Build and maintain product index performance reporting by customer segment

Benefits

• Generous paid time off
• 401k matching
• Comprehensive health plans for you and your family
• Supplemental mental health benefits
• Monthly wellness reimbursement
• Dog friendly offices
• Employee Discount Program!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees