Associate Data Analyst, Bluesight

• This role is ideal for someone who combines a customer‑first mindset with technical aptitude, clear communication, and meticulous attention to detail
• Bachelor’s degree, or equivalent experience
• 1+ years of experience in data analysis, experience in the healthcare industry a plus
• Experience with AWS services like AWS Glue, Step functions, Lambdas, etc
• Experience with queries on relational databases (MySQL, MS-SQL, Oracle) or non-relational databases (MongoDB)
• Ability to understand, and debug, existing codebases across multiple languages or frameworks (Python, Pyspark, Scala, Ruby etc)
• Familiarity with ETL concepts, data pipelines, and data validation
• Proficiency operating from the command line (e.g. bash, zsh, powershell) to interact with files, data, execute scripts and command-line tools
• Professional communication skills - written and verbal - that demonstrate an ability to work well on a team and with both technical and non-technical customer contacts

Desirable

• We’re seeking a Data Integration Analyst to support the successful implementation of Bluesight’s SaaS products for our hospital customers
• Partnering closely with customer technical teams, you’ll help extract, transform, and deliver data into our platform while performing thorough validation to ensure each customer is positioned for long‑term success
• This role is technical-focused and involves both customer interaction and scripting
• Typical work breakdown:
• Configuring and executing infrastructure, validating and analyzing data: 25-35%
• Validating and analyzing data: 20-30%
• Customer-facing interactions: 20–25%
• Writing or updating SQL, Python, and various other tasks: 10-15%
• Consult with customers on how to properly extract, transform, and load their data into the Bluesight platform
• Validate, reconcile, and analyze data input from disparate systems to ensure data integrity using command line tools and scripts
• Clearly communicate data findings and serve as a point person for troubleshooting and resolving technical issues
• Document processes, edge cases, and best practices to support internal knowledge sharing
• Collaborate cross-functionally with the implementation, product, and engineering team to identify trends, improve processes, and enhance data pipelines
• Other duties as assigned