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.

The Revenue Analytics team supports our customer-facing teams and works cross-functionally to enable and support the growth of the company with data enablement and data-driven insights.  

We are seeking a skilled and motivated Data Analyst to join our team. This role will be responsible for developing scalable solutions to transform large, complex data sets into insightful analysis and tableau visualizations.

The ideal candidate is a technical problem-solver with experience in data analysis, visualization, business intelligence, and data modeling. The role will require strong collaboration with technical teams such as Business Intelligence and Data Engineering, as well as internal stakeholders such as Customer Success, Go-to-Market, and Finance. Applicants should be comfortable with ambiguity and excited by the challenge of complex problems.

Responsibilities

• Identify opportunities for process improvement and automation to streamline data analysis and reporting
• Create and maintain reports, dashboards, and visualizations using Tableau to communicate key business metrics to stakeholders at scale with best practices
• Work with large data sets pulled from various systems and databases. Independently ascertain how to query data and run ad hoc analysis to drive insights
• Build scalable solutions and automate workflows using dbt, Python, R, and Snowflake. Develop projects and partner with Business Intelligence for larger automations that impact multiple teams
• Work with other technical teams to ensure data quality and data integrity, and to optimize data processes
• Collaborate with internal stakeholders to understand their data needs and provide insights that drive business decisions
• Develop a deep understanding of our business operations, products, and customers to drive revenue growth
• Analyze large and complex datasets to identify trends, patterns, and insights
• Ensure alignment on metrics across the organizationWork within ambiguity to define requirements and solve complex problems

Qualifications

• Bachelor's or Master's degree, preferably in Computer Science, Statistics, Engineering, or related field
• 3+ years of experience in data analytics, analytics engineering, business intelligence or data engineering
• Strong SQL skills with knowledge of programing best practices and experience working with large datasets
• Strong data visualization tools such as Tableau and a deep understanding of how to build for scale
• Familiarity with statistical analysis tools such as R or Python
• Expertise in automation workflows using dbt, Python, R, and Snowflake
• Experience working with technical teams such as Business Intelligence and Data Engineering

$85,000 - $130,000 a year

By applying for this position, your data will be processed as per Lyra Health Workforce Privacy Notice. Through this application, we will collect personal information from you including 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).  Providing this information is optional and completely voluntary.  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. For more information about how we use and retain your information, please see our Workforce Privacy Notice.