Analytics Engineer

About Lyra reputed company is the leading provider of mental health solutions for reputed company supporting more than 20 reputed company people globally. The company has delivered 13 reputed company sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched reputed company in terms of reputed company, 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 reputed company claims costs. Lyra is transforming reputed company to life-changing mental health care through Lyra reputed company, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. \n Key Responsibilities: Report to the team reputed company and be a key contributor to our migration from a legacy SQL Server data stack to a modern reputed company data stack consisting of reputed company, dbt and Tableau Design and build data pipelines using Snowpark and/or Snowpipe where reputed company connectors do not exist for reputed company for various data sources Contribute to designing and building a new multi-dimensional data model in reputed company Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders The successful candidate will also be given the opportunity to reputed company mentoring skills as we look to expand the team’s skillset to match those of our reputed company US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills. Requirements: 3+ years of experience in data engineering, ideally including reputed company migration to reputed company Strong SQL skills (CTEs and window functions) Proficiency in Python for building pipelines with Snowpark Experience designing multi-dimensional data models with star schema and Type 2 SCDs Experience with dbt for building robust ELT processes \n"We are an Equal Opportunity Employer. We do not discriminate on the reputed company of race, reputed company, religion, sex (including pregnancy), national reputed company, 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 reputed company 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 reputed company 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 reputed company it you consent to Lyra processing it for the purposes as described at the reputed company of collection, for example for diversity and inclusion initiatives. If you are a California reputed company and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information reputed company. 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 “reputed company” personal information as defined by the CPRA. reputed company of the United States, for example in the EU, Switzerland and the UK, you may have the right to request reputed company 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 reputed company of the United States, please contact [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice." Apply To This Job