Data Quality Analyst
Data Quality Analyst
Precise Solutions
United States
See who Precise Solutions has hired for this role
At Precise Solutions, we are looking for top talent consultants to bring on as employees of our organization and service our clients in the various Life Sciences Industries. We are much more than a consulting firm! Precise Solutions provides competitive compensation packages with great salaries, benefits, health insurance, paid time off and employer-based 401k contributions.
We currently have an immediate need for the following:
Job Title: Data Quality Analyst- Patient Services
Location: USA -Remote
Compensation: $60.00 per hour, Paid Time off, Company 401k contributions, Health, dental, and vision insurance. Total Annual Compensation including benefits is $138,000.00
Resume Requirements:
The following resume requirements must be met for resume to be considered.
DQA responsibilities include:
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We currently have an immediate need for the following:
Job Title: Data Quality Analyst- Patient Services
Location: USA -Remote
Compensation: $60.00 per hour, Paid Time off, Company 401k contributions, Health, dental, and vision insurance. Total Annual Compensation including benefits is $138,000.00
Resume Requirements:
The following resume requirements must be met for resume to be considered.
- Candidate's first and last name (legal spelling) must be at the top of the resume
- Valid email address must be at the top of the resume. LinkedIn links will not be accepted. It must be a valid email address so our recruiters can respond to your resume
- Please refrain from submitting resumes with candidate's photo they will not be considered
DQA responsibilities include:
- Quality standards development:
- Working with data stakeholders to Identify specific issues with data quality
- Defining actionable standards for data quality
- Defining data quality metrics for reporting
- Enforcing data standards
- Data cleansing and enrichment:
- Identifying and rectifying errors, inconsistencies, and redundancies within data
- Remediation and improvement planning:
- Identifying specific tasks to correct data, such as:
- Data cleansing
- Data validity inspection and reporting
- Application modifications for business processes, applications, or data models
- Evaluating large dataset for quality and accuracy
- Determining level of impact data quality issues
- Working with programmers to correct data quality errors
- Informatica IDQ Suite
- Data profiling
- Data discovery
- Information chain analysis and management
- Root cause analysis
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Internet Publishing
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