Sr. Manager, Analytics

United States

Lyra Health

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About Lyra HealthLyra 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 RoleLyra Health is looking for a Sr Manager of Analytics, who will focus on scalable reporting and insights for our product and operations teams.  This role will report to the Head of Data and will lead a team of individual contributors and team leads. If you’re a hands-on Analytics leader, who thrives in a mission driven company, then this is the role for you.
This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Remote candidates must be physically located within the United States.

Responsibilities

  • Be a hands-on technical leader for the data analytics team responsible for data insights, metric development, visualization and operational forecasting
  • Be a hands-on technical leader for the data analytics team responsible for data insights, metric development, visualization and operational forecasting
  • Be the owner of all data analysis, metric definitions, and operational dashboards and business forecasting
  • Partner with Data Science on establishing data definitions, data quality and documentation standards
  • Own and present key business operations metrics to key stakeholders
  • Manage, scale, and mentor the data analytics team
  • Work with product and operations business stakeholders on priorities and roadmap for data analysis, metric development, self serve data visualization dashboards and business forecasting
  • Work closely with neighboring tech teams include data engineering, data science and engineering to deliver solutions collaboratively.
  • Provide code reviews and management of best coding practices
  • Plan and manage bi-weekly sprint boards
  • Be the owner of all data analysis, metric definitions, and operational dashboards and business forecasting
  • Partner with Data Science on establishing data definitions, data quality and documentation standards
  • Own and present key business operations metrics to key stakeholders
  • Manage, scale, and mentor the data analytics team
  • Work with product and operations business stakeholders on priorities and roadmap for data analysis, metric development, self serve data visualization dashboards and business forecasting
  • Work closely with neighboring tech teams include data engineering, data science and engineering to deliver solutions collaboratively.
  • Provide code reviews and management of best coding practices
  • Plan and manage bi-weekly sprint boards

Qualifications

  • 8+ years of experience in analytics or related quantitative field in a product or operations facing role
  • 2+ years of experience successfully managing and growing small to medium sized teams (>4), with a specific and proven impact on individual development
  • Strong blend of business understanding and quantitative skills
  • Advanced proficiency with SQL and Tableau
  • Experience working with large data sets, statistics and drawing meaningful insights
  • Experience building production large scale forecasting models partnering with Finance and Operations teams.
  • Proven ability setting up teams up for success and directing their efforts to achieve ambitious deadlines
  • Ability to thrive in a fast-paced, dynamic startup environment, balancing the need to deliver upon both short- and long-term outcomes
  • Ability to think strategically and analytically with a focus on scalable solutions
  • Experience with DBT or Python is a plus
"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."
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Tags: Data analysis Data Analytics Data quality Data visualization dbt Engineering Finance Privacy Python SQL Statistics Tableau

Perks/benefits: Startup environment

Regions: Remote/Anywhere North America
Country: United States

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