Description
Join a team that leverages cutting-edge technology to make a real difference in improving the health and well-being of the most vulnerable communities. If you're passionate about harnessing technology for positive change, this could be the opportunity for you!
Why This Role?
This is more than just a job—it's an opportunity to grow your career in a dynamic and supportive environment. You'll have the flexibility to work remotely while continuously developing your technical skills and certifications. Enjoy a generous vacation policy, educational support, and access to specialized leadership and technical development programs.
Position Overview
As an Advisor Application Designer, you will play a key role in helping clients improve healthcare outcomes by utilizing data to develop innovative solutions. If you thrive on finding creative answers to complex challenges, this position is the perfect fit for you!
Your Role
Responsibilities
In this role, you'll be responsible for supporting critical analytics, report designs, data integration, and transformation processes that are essential for healthcare data services. Key tasks include:
- Collaborating with clients to develop important reports, analyze data, and create detailed specifications.
- Building mapping documents and working closely with stakeholders to ensure feedback is incorporated.
- Improving existing processes through your recommendations and best practices.
- Working with analysts and engineers to deploy solutions in both batch and real-time environments.
- Building complex data sets from multiple sources using tools such as SQL, Python, Spark, and SSRS.
- Presenting your findings to both technical and non-technical audiences.
- Leading engagements with key business stakeholders to explore new opportunities in data analytics.
- Advocating for the adoption of analytics across the enterprise to drive business growth.
- Supporting the design, development, and testing of Machine Learning (ML) models, helping to create new product features.
What We're Looking For
- 9+ years of experience with SQL Server, Oracle, MongoDB, and Vertica DB.
- Familiarity with healthcare data, including HEDIS, ECQM, or First Data Bank (FDB).
- Strong experience with data visualization tools like Tableau and Databricks.
- Firsthand experience in healthcare, particularly working in SQL, Python, R, or SAS environments.
- 3+ years of experience in data science or machine learning as a technical lead.
- Hands-on experience with cloud services such as AWS or Azure.
- A degree in Computer Science, Statistics, Informatics, or a related field.
Additional Skills That Make You Stand Out
- Proven ability to lead meetings with clients, product teams, and data specialists to discuss analytics.
- Experience developing enhanced reporting and analysis solutions that draw from multiple data sources.
- Strong knowledge of AWS services, such as EC2, S3, RDS, Redshift, and Glacier.
What To Expect In This Role
- Fully remote position with the flexibility to work from anywhere in the U.S.
- Occasional travel (0-10%) may be required.
- Flexibility to accommodate business needs, including an Eastern Time Zone schedule.
- Video interviews are required, along with video participation during the first week of orientation.
Perks And Benefits
In addition to a flexible work schedule, you'll have access to generous vacation time, a 401(k) employer match, comprehensive health benefits, and educational assistance. You'll also have the chance to grow your skills through leadership and technical development programs.
We believe that collaboration, innovation, and inclusion are the keys to creating a better future for everyone. By joining our team, you'll be working with people who share your passion for making healthcare better.
Equal Opportunity Statement
We are committed to fostering a diverse, equitable, and inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, religion, gender, age, disability, veteran status, or any other legally protected characteristic.
Employment Type: Full-Time