Senior Analyst - Payor

About SonderMind

At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.

About the Role

SonderMind is looking to hire a Senior Analyst with a strong background in data analysis and visualization to work with a high-performing team of data analysts, responsible for delivering actionable insights that inform operational and strategic decision-making to drive our business forward.

This role will independently own and manage the end-to-end process to generate business insights and recommendations related to the Payor Operations at SonderMind.

You will be responsible for proactively advising on and owning the data structure, integrity, and governance, and you will drive significant insights internally for our teams, often leading specific analytical initiatives.

• Work flexibly across teams within the organization, leading efforts (or driving recommendations on) data structure, integrity, accuracy, and governance.
• Provide in-depth analysis and strategic insights for work streams related to payor negotiations and operations to independently influence decisions, support testing/negotiations, and drive novel approaches to this vertical.
• Collaborate effectively and lead discussions throughout the organization, including with product, engineering, and payor team and proactively communicate and present recommendations to leaders and project managers.

This role is ideal if you are deeply curious, comfortable thriving in a dynamic and fast-paced environment with limited guidance, and relish the opportunity to tackle complicated business problems. You should be excited about driving data exploration and enjoy learning new systems and tools.

You will be joining a Data Analytics team that is driven, passionate, and collaborative. Our ideal candidate should have exceptional attention to detail, strong work ethic, critical thinking skills, and high comfort independently communicating and presenting complex insights with leaders.

What you’ll do 

• Independently lead end-to-end data analysis initiatives supporting Payor Operations, from scoping through insight delivery

• Design, maintain, and improve data structures and governance frameworks to ensure data accuracy, integrity, and scalability

• Develop and deliver dashboards, reports, and ad hoc analyses that provide actionable insights and support business decision-making

• Serve as a strategic thought partner to the Payor team, advising on data-driven strategies and surfacing key performance drivers

• Lead cross-functional collaboration with product, engineering, and business stakeholders to inform and influence roadmaps and negotiations

• Identify, monitor, and analyze key metrics to assess program performance and recommend optimization strategies

• Own and manage reporting cycles for payor operations with minimal oversight, ensuring consistent delivery of high-quality outputs

• Present findings and recommendations to leaders and stakeholders using clear, compelling data storytelling

• Support testing, pilot tracking, and performance evaluation related to payor agreements and initiatives

• Proactively identify opportunities for process improvement and innovation within the analytics function and broader business

• Stay current with analytics tools and industry best practices to continuously enhance analytical capabilities and outputs

What does success look like?  

Within one month: You have a clear understanding of the tech stack and the status quo reporting and data structure. You have a clear understanding of the metrics that drive the business area you support and understand the key players and technologies that will be essential to your job. You have begun to identify initial opportunities for improvement or new insights within your vertical.

Within two months: You understand the drivers of your area of business and are independently leading the insights and data that shape the product, including advising on data structure and governance. You are also independently owning the reporting cycle for the payor team, requiring minimal assistance.

Within three months: You are a trusted and go-to expert within the business team for your vertical. You are proactively tracking pilots/negotiations/tests, identifying root causes of performance, and surfacing actionable insights to significantly improve the approach and product. You have developed and socialized the initial key metrics for your vertical and have a clear sense of what success looks like for the payor, and are proactively driving initiatives to achieve those goals.

Who You Are 

• Strong working knowledge of SQL and statistical analytics / data visualization / business insight tools (e.g., Looker, Tableau, Alteryx, PowerBI).
• Python, R, Data Science, Snowflake experience is a plus.
• 5+ years of work experience in relevant analytics/analytics engineering roles.
• Degree in statistics, computer science, applied math, business, or a quantitative behavioral sciences field, or equivalent combination of education and experience.
• 2+ years of experience working with insurance specific data including claims data, CPT codes, and market rate analysis. 
• Previous experience in an early or growth-stage startup or in a high-growth environment.
• Experience in digital healthcare.

Our Benefits 

The anticipated salary range for this role is $88,000 - $99,000 per year. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for a variable bonus and equity.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition, which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 

SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.