ETL QA Lead with Healthcare Client Exp - Minneapolis, MN (and )

Position: Quality Assurance Analyst, Lead

Duration: 6 month CTH

Location: Local to Minneapolis onsite once/week

- ETL testing experience is a must have (Informatica is their ETL tool) with strong Oracle and SQL query writing experience. Good to have automation they do not have a tool they currently use, they used QuerySurge to maintain test cases and schedule automation.

-Healthcare experience required

The Data Quality Analyst is responsible for monitoring, analyzing, and enhancing the quality of data within the organization. This role involves collaborating with various departments to identify data quality issues, implement solutions, and ensure adherence to data governance standards.

Key Responsibilities:

Data Profiling and Assessment: Analyze data sources to understand their structure, content, and quality, identifying anomalies and patterns that may affect data integrity

Data Cleansing and Enrichment: Develop and implement processes to correct inaccuracies, remove redundancies, and fill in missing information to maintain high-quality datasets.

Data Quality Monitoring: Establish and monitor data quality metrics, creating dashboards and reports to track data quality trends and issues.

Root Cause Analysis: Investigate data quality problems to determine their origin and work with relevant teams to implement corrective measures

Process Improvement: Collaborate with cross-functional teams to enhance data collection, entry, and validation processes, thereby reducing the occurrence of data quality issues.

Data Governance: Contribute to the development and enforcement of data quality standards and policies, ensuring compliance with regulatory requirements

Source to Target testing , functional and integration testing

Preferred Tools

Quality automation tools . Query surge etc.

Best Regards,

Chetna

-D

-Fax

Truth Lies in Heart

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Position: Quality Assurance Analyst, Lead

Duration: 6 month CTH

Location: Local to Minneapolis onsite once/week

- ETL testing experience is a must have (Informatica is their ETL tool) with strong Oracle and SQL query writing experience. Good to have automation they do not have a tool they currently use, they used QuerySurge to maintain test cases and schedule automation.

-Healthcare experience required

The Data Quality Analyst is responsible for monitoring, analyzing, and enhancing the quality of data within the organization. This role involves collaborating with various departments to identify data quality issues, implement solutions, and ensure adherence to data governance standards.

Key Responsibilities:

Data Profiling and Assessment: Analyze data sources to understand their structure, content, and quality, identifying anomalies and patterns that may affect data integrity

Data Cleansing and Enrichment: Develop and implement processes to correct inaccuracies, remove redundancies, and fill in missing information to maintain high-quality datasets.

Data Quality Monitoring: Establish and monitor data quality metrics, creating dashboards and reports to track data quality trends and issues.

Root Cause Analysis: Investigate data quality problems to determine their origin and work with relevant teams to implement corrective measures

Process Improvement: Collaborate with cross-functional teams to enhance data collection, entry, and validation processes, thereby reducing the occurrence of data quality issues.

Data Governance: Contribute to the development and enforcement of data quality standards and policies, ensuring compliance with regulatory requirements

Source to Target testing , functional and integration testing

Preferred Tools

Quality automation tools . Query surge etc.

Best Regards,

Chetna

-D

-Fax

Truth Lies in Heart

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.