About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.
About the Team
The Analytics team works cross-functionally to enable and support the growth of the company with data driven insights and decisions. The Analytics Associate role is for someone with a knack for telling stories with data, knows their way around SQL, and someone who is passionate about systems and scaling a startup business. This role will require taking a data driven approach to inform major business decisions across the company. The ideal candidate will have strong technical, analytical, financial, and presentation skills, in addition to strong interpersonal and communication skills. We are seeking a self-starter that can wear multiple hats while juggling a variety of projects.
The Customer Success Analytics team builds data projects to help employers (customers), who offer Lyra as a benefit, understand and maximize the impact of Lyra. As such, you will develop a comprehensive understanding of Lyra's products and services in addition to Lyra’s competitive positioning in the mental health industry. Some sample projects we work on are customer segmentation, customer reporting (for new and existing offerings), and a variety of analyses on how customers can improve registration, engagement, manage costs, etc. This role is great for someone who likes to solve problems through the lens of the customer, enjoys telling stories with data, and is interested in defining new processes as we rapidly scale.
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We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability, genetic information or any other category protected by law.