Customer Success Analyst II (SFBAY ONLY)

Suki • Redwood City, CA

17d • $100,000 - $120,000

About The Position

We are looking for a data-savvy Storyteller to join our Analytics team. While our Engineering team builds the pipelines, you will be the bridge between the data and the customer.
In this role, you won't just report numbers; you will explain what they mean. You will dig into complex datasets from our Strategic Accounts, identify trends in usage and adoption, and craft compelling narratives that prove the ROI of Suki. You will empower our Customer Success Managers with the insights they need to drive retention and expansion.

Requirements

• 4+ years as a Business Analyst, Data Analyst, or Strategy Consultant, preferably in B2B SaaS or Healthcare.
• Exceptional ability to visualize data. You know the difference between a "chart" and an "insight." Expert proficiency in Google Slides is required.
• Strong proficiency in SQL (you can query the data yourself) and Tableau (you can build the dashboard).
• You are curious. When you see a number drop, you don't just report it—you dig in to find out why.
• Comfortable presenting findings to internal leadership and occasionally joining external client calls to explain methodologies.

Nice To Haves

• Experience working with healthcare data (EHRs, Claims) or usage-based SaaS metrics.

Responsibilities

• Analyze usage patterns, adoption trends, and user behavior to identify "At-Risk" accounts before they churn.
• Design and build high-impact Quarterly Business Review (QBR) decks that clearly demonstrate value (ROI) to Executives.
• Translate complex data into simple, actionable insights for non-technical stakeholders.
• Act as the "Data Detective" for our complex strategic accounts, investigating anomalies in usage or drop-offs in engagement.
• Partner with Customer Success Managers to define success metrics for new pilots and track progress against them.
• Develop and maintain the "ROI Calculator" methodology, ensuring our value assumptions remain defensible and grounded in data.
• Build and maintain intuitive dashboards in Tableau that allow CSMs to self-serve answers to common client questions.
• Collaborate with the Data Engineering team to define requirements for new data tables or metrics needed for business analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed