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Role Description

In this role you will perform data quality processes, measurements, and analyses to assess patterns, identify root causes, and 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 standards 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
• 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
• 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.

Qualifications

• 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
• 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
• 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

Requirements

• The salary range for this position is $85-95K
• Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity
• This position is also eligible for health insurance, 401k and bonus opportunity

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

EEO Statement

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status.

Application Deadline

We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.