Senior Data Quality Assurance Analyst (remote)

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

In this role you will perform data quality processes, measurements, and analyses to assess patterns, identify root causes, define data quality rules. Other responsibilities will include delivering status updates on data quality, following standards, policies, and processes, coordinating data remediation plans where data fails to meet required standard by working with business owners and vendor partners.

JOB ROLES AND RESPONSIBILITIES:

• Own and prioritize tickets without supervision
• Multitask across various multiple projects and deadlines
• Identify gaps and propose process improvements
• Mentor junior team members and share best practices
• Collaborate cross-functionally with minimal direction
• Work with source systems and downstream data consumers to apply advanced data quality techniques through automation to remediate issues, and implement processes to monitor data quality risks
• Analyze data quality results as appropriate
• Measure and audit large volumes of data for quality issues and improvements.
• Perform root cause analysis of data anomalies as required
• Implement data quality rules, automated measurement / monitoring, proactive data quality assessment and identification of improvement opportunities.
• Participate in the application, deployment, and continued enforcement of Data Quality Management (DQM) processes.
• Collaborate closely with the ETL and refresh teams to resolve data and mapping inquiries
• Streamline the data validation process for improved efficiency
• Establish SFTP connections for new data feeds
• Develop and implement procedures for secure and efficient data handling and sharing
• Assess and optimize the performance of data systems
• Identify and address limitations in data reliability and usability
• Utilize MS Excel, SQL, Linux, and other analytical tools for designing, analyzing, synthesizing, integrating, and developing large data files
• Work collaboratively with colleagues from engineering and business backgrounds, emphasizing teamwork over supervisory roles
• Define and manage projects, including planning, strategizing, quality control, and scheduling
• Ensure compliance with HIPAA regulations and requirements.
• Demonstrate Company's Core Competencies and values held within.
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
• Assist in reviewing basic ETL mappings to understand source to target data flows and identify potential data quality impacts.
• Perform initial validation of ETL job outputs to confirm data completeness and consistency before escalation to ETL engineers.
• Support the ETL team by documenting data transformation logic, dependencies, and known data nuances to improve job transparency and reduce investigation time.
• Participate in troubleshooting sessions for minor data refresh issues to gain familiarity with common ETL failure patterns.
• Develop foundational knowledge of ETL processes with the goal of taking on incremental tasks such as mapping review, job output validation, and minor refresh troubleshooting.
• Please note due to the exposure of PHI sensitive data - this role is considered to be a High Risk and Privileged Role.

JOB SCOPE:

Works independently to review and analyze data using technical tools such as SQL. Responsible for generating Universal Data Specification for all products.