Senior Manager, Customer Value and Analytics

What we want to accomplish and why we need you

Suki is creating a new category in the health tech space – the digital assistant for physicians.  We are going to be the voice user interface for healthcare. What does that mean? Currently, doctors use their electronic medical record (EMR) system to track patient encounters. These systems can be hard to navigate and very time consuming to manage. Time that doctors would rather have to spend with their patients. This is the problem we’re solving right now: Doctors that use Suki today spend over 50% less time on administrative tasks than they did previously and we’re striving to do even better.

We are building Suki by spending time with our customers to understand features that will truly make their lives better.  We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine and even how medicine is practiced.

About the Role:

As Senior Manager, Customer Value & Analytics you will be responsible for proving Suki’s value to our customers using data.  You will rapidly influence our strategic approach, and ultimately develop innovative ways to most effectively and efficiently prove our value.  You will drive the analysis, create compelling presentations, and present to many of our enterprise customers. You will also be building structure and processes, as well as driving decisions on tools for excelling in proving customer value.

You will report to the VP, Customer Success & Operations, and will serve as an advisor around customer value not only to the Customer Success team but Suki more broadly. You are passionate about creating a collaborative, high-performance culture and will partner with other teams cross-functionally including marketing and product to optimize our approach. You are adept at managing others and in working with complex data sources, multiple tools, and analytical rigor.  Like others at Suki, you have a strong focus on continuous improvement and strive for excellence in all you do.  And you are excited to join a health-tech startup, and ready to take on exciting new challenges in the months and years ahead!

Responsibilities and expectations include but are not limited to:

• Actionable Insights:  You will utilize advanced analytics tools and techniques to extract actionable insights from various data sources. You will develop reports, KPI dashboards, and presentations based on data-driven findings to understand our business and prove value.
• Story-Telling Skills & Messaging:  You have strong storytelling skills, and the ability to distill complex information synthesized into concise and impactful messages and communications.
• Executive-Level Presence and Communications:  Ability to communicate both internally and externally with professionalism in person, on video, on the phone, and over email with C-level executives, providers and colleagues
• Business Acumen:  You will need to develop a deep understanding of our business and what defines value.
• Tools & Methodologies: You will establish robust analytics processes and drive marked improvements in our effective use of tools and methodologies
• Zero-Defect Analysis & Detail Orientation:  You recognize the criticality of delivering high-quality, accurate analysis consistently and have developed robust methodologies for validating your work.
• Emotional Intelligence:  You have high EQ and thrive on bringing out the best in your team  
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact
• High-Accountability:  You can be counted on to consistently deliver with excellence
• Flexibility: You will need to work flexible hours based upon client’s and teams’ schedules in different time zones across the US, and be willing to do what it takes to create high customer satisfaction
• In-Office Work Days:  You will work from Suki’s Redwood City office at least Tuesday through Thursday each week.

Requirements:*

• Bachelor's degree in a quantitative field + advanced degree (Master's or equivalent) preferred.
• 8+ years of proven experience in an analytical or data science role within the healthcare technology sector, preferably with a focus on customer value analytics.
• Advanced proficiency in data analysis tools, platforms and programming languages (e.g., SQL, Python, R, Tableau, Big Query, Google Sheets)
• Excellent communication and presentation skills with the ability to convey complex insights in a clear and concise