Senior Data Quality Assurance Analyst (remote)

Claritev•New York, NY

6d•$85 - $95•Remote

About The Position

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.

Requirements

Bachelors’ degree in computer science, information technology or a similarly relevant field is highly preferred.
At least five (5) years’ experience of doing health care data quality analysis, root cause investigations, and remediation (not application testing).
At least three (3) years’ experience working with data tools such as SQL
Candidates must have scripting experience, including proficiency with Bash or similar scripting languages.
Hands‑on experience with YAML logic and troubleshooting
Understanding the basics of how ETL pipeline components (Scala/Python) interact
Understanding of deidentification rules and eligibility/claims relationships
Experience and working knowledge of data in a healthcare data management environment.
Data management background who understands data, data ingestion, proper use/consumption, data quality, and stewardship.
Proven track record of managing projects, ensuring high-quality and timely completion
Ability to work effectively as part of a team, demonstrating excellent interpersonal and communication skills
Strong multitasking skills, capable of handling multiple tasks with varying deadlines
Exceptional problem-solving abilities, even under pressure
Excellent verbal and written communication skills
Confident in making well-informed decisions based on available information
Individuals in this role must be able to work independently with minimal supervision

Nice To Haves

EMR job execution experience is a plus
Experience with Spark log analysis is a plus
Advanced computer skills and proficiency with Microsoft Excel, Salesforce, and Jira

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.

Benefits

Medical, dental and vision coverage with low deductible & copay
Life insurance
Short and long-term disability
Paid Parental Leave
401(k) + match
Employee Stock Purchase Plan
Generous Paid Time Off – accrued based on years of service
10 paid company holidays
Tuition reimbursement
Flexible Spending Account
Employee Assistance Program
Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits