Lead BI/Data QA Analyst - Fulltime Job - Remote

No C2C - Must be able to work without sponsorship

$130-135k plus Bonus

You will be testing BI Data solutions and collaborate with stakeholders to understand requirements, ensure data accuracy and continuous improvement of test strategies. Leads in collecting compliance evidence for SOX and/or HIPAA audits.

• Responsible for discovery, define testing strategy, leading User Acceptance testing strategy and deployments of Data solutions and reporting solutions
• Understand Data warehouse and Data mart models to define manual and automation testing processes for semantic layer designs on enterprise self-service reporting
• Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc..), Snowflake, Azure DevOps to build the test mechanisms and participate in CI/CD change release strategy
• Manages processes associated with data quality.
• Perform other duties as assigned.
• Work with Operations teams to minimize the production issues/bug fixes to improve productivity
• Develop and maintain processes which help minimize manual efforts and improve operational efficiencies’ in analytics space and team performance metrics to drive continuous improvement
• Manage and implement multiple complex IT projects on time and on budget through a disciplined program management approach
• Manages assigned personnel.

Qualifications:

• 10 years of experience in Analytics and Data testing tools developing reports and dashboards and ETL tools
• 3 years in Leading high performed testing teams
• Demonstrate understanding of healthcare processes to translate into test scenarios and use cases
• Experience working in Agile development environment with tools such as Jira and DevOps
• Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security)
• Knowledge with Azure services: Azure Blob Storage, Azure SQL Server, Azure Data Factory
• Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Value add.
• Data QA certifications preferred.