Data QC Analyst

• Research production issues to determine root cause and recommend solutions
• Write database queries and SQL utilities to perform data extract, data tuning, and analysis.
• Identify areas to increase efficiency and automation of processes
• Set up and maintain automated data processes
• Work with internal QC team to identify data issues and provide solutions.
• Evaluate internal data sources and processes for integrity, working cross-functionally with other internal teams, Project Managers and Account Managers to resolve errors
• Communicate and collaborate with Specialty Pharmacies and other data vendors to ensure data quality. Clearly explain complex technical concepts to non-technical collaborators.
• Participates in meetings and discussions with internal and external customers
• Participate in brainstorming activities and involve in process improvements such as automation, CICD in AWS using programming languages such as Python.

• Experience testing within large data platforms, such as, ETL testing, data extraction testing, data transformation and load testing.
• Strong experience with one or more scripting and/or programming languages and/or tools such as Python
• Experience with Data automation testing, DevOps stack (CI & CD) and other dependency management and build tools such as GitHub.
• Exposure to cloud technologies such as AWS and ability to understand the data load activities performed in AWS.
• Understanding of how data is extracted, transferred, loaded, scrubbed, etc.
• Skilled in writing SQL queries
• Ability to multi-task, prioritize and work independently
• Superb oral and written communication skills
• Familiarity with standard industry-specific metrics strongly preferred, particularly in the pharmaceutical industry

Minimum 0-2 years of work experiences in data analysis or related field