Accompany Health is hiring a
Sr. Business Intelligence Engineer, Remote - United States

Summary

The Senior Business Intelligence Engineer will help build robust analytical pipelines and downstream reports at Accompany Health. They will work alongside product managers and operational/clinical leaders to solve critical company challenges and contribute to a data-driven culture.

Requirements

• Advanced SQL skills  and experience working with relational databases
• Solid foundation of data lake and data warehousing concepts
• Experience with AWS services like Glue, S3, Athena
• Proficiency in using modern reporting tools (like Tableau, PowerBI, Looker or similar ) to build dashboards and reports for KPIs and doing deep-dive data analysis
• Experience with cloud-based data warehouses like Snowflake or Redshift
• Experience supporting and working with cross-functional teams in a dynamic environment independently
• 7+ years of experience in a Business Intelligence Developer or similar roles, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Responsibilities

• Working closely with clinical and business stakeholders to understand the analytical needs of the business and providing insights in a rapid, iterative and collaborative process
• Data Profiling on complex healthcare data sets to identify data quality issues, root cause analysis, patterns, and insights. Communicate these findings to an audience of varying levels of technical expertise to ensure clear understanding
• Building insightful reports and interactive dashboards that help the Clinical and Operations teams in their decision-making while ensuring data accuracy and quality results
• Contribute to improving our tooling (data pipelines) and processes so that we can deliver results more quickly and accurately
• Implement best practices and innovative solutions to streamline data management and reporting workflows

Preferred Qualifications

• Experience working with healthcare data like Eligibility, Claims and have a deep understanding of underlying data issues
• In-depth understanding of healthcare data standards and regulations (e.g., HIPAA)
• Experience with programming languages such as Python, R, or similar
• Experience with data pipeline and workflow management tools like Airflow
• Experience with big data tools: Spark, Kafka, etc
• Certifications in BI tools or data management (e.g., Tableau Certified Professional, AWS Certified Data Engineer/Developer)