SonderMind is your mental health home. For nearly a decade, we've been delivering high-quality, outcome-focused mental health care, supporting tens of thousands of people across 15 states and DC, both virtually and in person. To date, we've facilitated over 3 million sessions, helping people connect with the right care, and the right provider.

SonderMind supports a community of mental health care clinicians with the tools, continuing education, technology, marketing and administrative support to be able to deliver quality care and operate thriving practices. With thousands of therapists and psychiatric providers across the country, we're able to connect people to care in days, and help them find the right care for them.

SonderMind is looking to hire an analyst with a background in data analysis and visualization to work with a high-performing team of data analysts responsible for the insights that inform operational and strategic decision-making to drive our business forward. This role will own or manage the end-to-end process to generate business insights and recommendations related to the Provider and Client Growth at SonderMind. You will be responsible for advising on or owning the data structure, integrity, and governance, and you will drive insights internally for our teams.

This role is ideal if you are curious, comfortable working in a dynamic and fast-paced environment 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, a strong work ethic, critical thinking skills, and high comfort communicating insights with leaders

• Work flexibly across teams within the organization, owning (or driving recommendations on) data structure, integrity, accuracy, and governance
• Provide analysis and insights for work streams related to client and provider growth to influence product decisions, support testing, and drive novel approaches to this vertical.
• Collaborate well throughout the organization, including with product, engineering, and go-to-market leaders, and communicate recommendations to leaders and project managers.

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.
• Within two months you understand the drivers of your area of business and are taking lead in the insights and data that shape the product, including advising on data structure and governance. You are also owning, with assistance, the reporting cycle for the client and provider Growth.
• Within three months you are a trusted member of the business team and becoming the expert in your vertical. You are proactively tracking pilots and tests and surfacing insights to improve the GTM 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 enterprise business unit.

Who you are:

• Technical abilities: You bring strong technical expertise and a flexible quantitative approach to problem-solving. You know how to navigate complex data structures. You have experience with large data sets, business insight tools, and SQL and are comfortable learning new tools.
• Organized and Detail-Oriented: You know how to organize and prioritize work and communicate progress and blockers promptly. You double-check work for accuracy and thrive in detail-oriented work.
• Solution-oriented: Sees problems as opportunities. Understands, captures, and enhances stakeholder vision. Adjusts the solution using data to solve the root cause of the problem and to suit the stakeholder. Consistently brings solutions or viable ideas in addition to highlighting concerns or problem areas.
• Drive for results: Bias for action, intrinsic motivation, and knows how to prioritize time for impact.
• Team Player: Willingness to pitch in on work outside of your direct responsibilities with a strong sense of accountability. Collaborates comfortably with team members and cross-functional colleagues in a hybrid environment. Enjoys being part of a driven, collaborative, and passionate team.
• Comfortable Communicator: Ability to present data to key stakeholders. You understand the strengths of both written and spoken presentations and when to apply the correct method for communicating data-driven insights.
• Resilience & Adaptability: Effective with limited information or direction; comfortable with risk and uncertainty, and ambiguity; self-directed and proactive
• Learning Agility: Shows a strong willingness to learn and adjust to new people and environments. Actively works to understand strengths, identify opportunities to develop, embrace new ways of thinking and apply new information.

Required Experience

• 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.
• 2+ 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.

Preferred Experience

• Previous experience in an early or growth-stage startup or in a high-growth environment.
• Experience in digital healthcare.