Senior Analytics Engineer
Memora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Analytics Engineer. In this role, you will have the responsibility of driving the analysis, architecture, design and development of our data warehouse and analytics solutions. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.
As part of our Reporting and BI team, you will work very closely with data engineers, analysts and cross-functional business stakeholders. You should not only be driven by the problems we are solving but also by the innovative approach and technology that we are applying to healthcare. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.
Primary Responsibilities:
- Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.
- Develop and maintain solutions to enable self-serve reporting and analytics.
- Build robust, performant ETL/ELT data pipelines.
- Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.
- Establish best practices designing, building and maintaining data models.
Qualifications (Required):
- 7+ years of data warehousing / analytics engineering experience in a fast-paced, high-growth environment
- 3+ years of data modeling experience
- Strong experience in design and development of highly scalable ETL/ELT processes using SQL and Python
- Experience implementing complex data transformations, error handling and monitoring frameworks
- Experience with data modeling design patterns like Star / Snowflake / Data Vault schemas
- Expert SQL querying skills, proficient with Python, R, or other statistical programming languages
- Proficient in analyzing data using a variety of methods including statistics and relational databases
- Experience with SQL and NoSQL data stores like MongoDB, PostgreSQL, or BigQuery
- Experience with analytical and reporting tools, such as Looker or Tableau
- Understanding of up-to-date software engineering tools and processes (Git, CI/CD, GCP/AWS, Jira)
Qualifications (Bonus):
- Familiarity with Apache Beam, Github, Airflow
- Experience with DBT
- Experience with Looker. Both building content and managing the semantic layer in LookML
- Experience in implementing ETL audits, error handling frameworks, and database performance tuning
- Experience with data governance and/or HIPAA compliance
- Application usage tracking and A/B testing
- Experience with NLP and AI/ML
- Experience in health tech
- Experience working at a startup