At Springbuk, our vision is to prevent disease with data. We are creating real change in healthcare by empowering smarter decision-making via our health intelligence platform. Our team is nationwide, we work hard, we win together, and we share an inspiring company culture.

A Data Analyst at Springbuk works on the Data Quality team processing, analyzing, and auditing the quality of incoming data at Springbuk. You will work with the rest of the Data Quality team analyzing healthcare data using SQL, Python, and your analytic skills to continuously improve the quality of data that is used to produce actionable healthcare insights.

Here’s what you will do:

• Work on a team of data analysts to ensure the quality, coverage, and accuracy of healthcare claims data
• Develop and maintain data quality software tools to analyze data, detect errors, and report anomalies
• Use SQL and Python to perform analysis and validation
• Interpret Data Quality Reports to ensure accurate data delivery to clients
• Analyze data for reported client issues, find inconsistencies, and making adjustments to our data pipeline to prevent further issues
• Maintain QA checks within our data pipeline during normalization process
• Complete audits of client using vendor-provided reporting; Communicate with vendors to resolve issues as needed
• Interact with people in other roles including Data Engineers, Customer Support Analysts, and Implementation Project Managers to answer questions and resolve client issues
• Help develop strategies, standards, and best practices for ensuring data quality
• Develop coding and software skills with mentorship from the Technology organization

Here’s what your team will do:

Our Data Quality team is responsible for understanding and validating the quality of our client’s healthcare data.

• Reviewing data quality reporting, triaging issues, and resolving if possible
• Analyzing client reported data issues and finding a path to resolution
• Making adjustments to data pipeline in order to mitigate issues observed from client reported issues or data quality reporting
• Work with internal stakeholders as well as vendors in order to correct observed data issues
• Brainstorm and implement new anomaly checks in data quality reporting software

A successful candidate will have:

• Excellent problem solving and critical thinking skills
• High level of curiosity and ability to do self-directed research
• Strong organizational and time management skills
• Strong knowledge of relational databases and SQL
• Readiness to build and maintain custom tools using Python and Ruby
• Ability to analyze and visualize data
• Excellent communication skills with technical and non-technical teammates
• Readiness to work on an agile team: short iterations, issue tracking, version control, QA, etc.
• Readiness to work in a continuous delivery environment
• Readiness to work at a dynamic scale-up company with a SaaS product