Mindoula is looking for a BI and Analytics Engineer with a passion for modeling data to deliver scalable BI and efficient analytics. You’ll work on datasets that enable Mindoula to better serve and engage members and also deliver public health services in smarter more efficient ways. In this position, you will have agency to own problems from start to finish and work directly with business stakeholders, analysts, and data scientists who use the data products you’ve designed.
Location...
This is a 100% remote position in the United States. Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
What you'll do...
- Design and engineer efficient and scalable star (Kimball) models
- Extend our business intelligence functionality to maximize self-service and automate requests. You’ll lead this effort within the team.
- Design and execute complex SQL queries and scripts to extract, transform, and analyze data from various sources, ensuring data accuracy and integrity.
- Perform exploratory data analysis to uncover trends, patterns, and insights that contribute to business and clinical objectives.
- Provide expert-level data validation to ensure data quality and consistency, identifying anomalies and inconsistencies in data sets.
- Collaborate closely with cross-functional teams to understand and define data requirements for ad hoc queries and data validation requests.
- Develop and maintain documentation for query and data validation processes, ensuring knowledge sharing and best practices across the team.
What you'll need...
- Bachelor's in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline.
- Proven experience (5+ years) as an Analytics Engineer, preferably with healthcare claims and DBT experience
- Proficiency in SQL and at least one business intelligence tool experience with relational and columnar databases (e.g., PostgreSQL, Redshift).
- Familiarity with scripting languages (e.g., Python, R) for data manipulation and analysis is required.
- Experience with data validation techniques and best practices to ensure data accuracy and integrity.
- Serves up data at a start-up pace, while maintaining accurate organized code.
- Proficiency in data visualization tools such as Power BI, Looker, ThoughtSpot or a similar tool.
- Excellent communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders.
About Mindoula...
Mindoula is a next generation population health management company that identifies, engages, and serves populations with complex behavioral health, medical, and social challenges across the continuum of care. By using technology to “scale the human connection,” Mindoula helps health plans, health systems, hospitals, and provider groups extend their reach and achieve their value-based service delivery goals. At Mindoula, we address the full range of behavioral health challenges. We deploy tech-enabled teams of case managers, care managers, community health workers, peer support specialists, therapists, and psychiatrists to provide 24/7 support to even the most complex and underserved behavioral health populations. In addition, Mindoula provides direct care services including both the delivery of outpatient behavioral health services - in person and telehealth psychiatry, med management, and therapy - and the staffing and managing of inpatient psychiatric units in partnership with client hospitals. Mindoula is a market leader in managing the most complex Med/Psych and Speciality Populations, delivering a virtual Collaborative Care model, delivering telepsychiatry and teletherapy, and value based care.