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Sr. Data Analyst

Lyra Health

IT, Data Science

United States

USD 114k-157k / year

Posted on Apr 3, 2026

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About Lyra Health

Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

About the Role:

We are looking for a self-driven Senior Data Analyst who demonstrates impact, ownership and innovation.

Please note that remote-based candidates must be physically located within the United States.

Responsibilities

Collaborate closely with Lyra’s Technology, Operations, Product, and other associated teams to provide critical business insights that enable strategic planning and improve operational processes, resulting in high-quality care for clients.

Become an expert in the diverse data sources at Lyra, working with Data Engineers, Data Scientists, and fellow Data Analysts to build and enhance Lyra’s data models.

Partner with Data Engineering to build a scalable and flexible analytics metrics database using the standard development process involving Snowflake, dbt, Github, and peer reviews.

Conduct quantitative analyses to identify meaningful trends in care experience and utilization that uncover new opportunity areas and drive stakeholder decision-making.

Provide internal stakeholders with ongoing visibility into key metrics by creating and maintaining Tableau dashboards and reports.

Complete time-sensitive ad hoc data requests that inform high-priority business objectives while ensuring high data quality and reporting accuracy.

Using domain knowledge and technical expertise, guide and advise stakeholders on reporting logic, metric development, and data limitations/caveats to ensure rigorous methodology and accuracy.

Build automation and self service analytics solutions for stakeholders, leveraging data tools and resources such as python, BI tools and automation platforms.

Qualifications

5+ years of data analysis in an industry setting with a preference for individuals who have experience in product / operations analytics and have partnered with engineering, operations and product teams in prior roles.

Bachelor’s Degree, preferably in Engineering, Math, Statistics, Analytics/Data Science or other related field.

Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.

Experience in working with a cloud data warehouse and modeling analytic views with dbt.

Strong experience with defining metrics and developing dashboards and visualizations that provide clear, actionable insights to stakeholders.

Experience with developing self-serve automated analytic solutions that involve scripting, data cleansing, data extraction pipelines, and / or process automation.

Excellent at cross-functional collaboration with non-technical business stakeholders, especially in translating technical concepts, scoping reporting requests, and working together to create high-quality deliverables.

Demonstrated experience in project ownership; capable of independently managing and meeting project milestones.

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

114000 - 157000 USD a year

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