Data Quality Analyst

job
  • Saxon Global
Job Summary
Location
Frisco ,TX
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
03 Feb 2025
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Job Description
Notes from my vendor's Manager Call:
  • 6+ years of Data Analyst experience
  • Must have - Advanced SQL skills
  • Must have - Banking Domain Experience
  • Must have - Strong communication verbal and written
  • Strong documentation skills
  • Nice to have but not required: Collibra, Informatica, Python R Bill Diaz is looking for in a Data Quality Analyst.
  • Write data quality rules to compensate for the data quality rules not in place
  • Analyze business requirements, establish data flows and mappings, provide data guidance
  • Conduct data validations for 3P vendor files and data landing in the different environments - validation against requirements
  • Development of data lineage from end to end
  • Documentation of data defects and their remediation, along with validation of remediation
  • Soft skills to be able to speak competently and confidently in a meeting setting with executives and groups larger than 10
Job Description
  • Analyze and remediate data quality issues for GLBA, Financial Regulatory Reporting and Trust Regulatory Reporting.
  • The Data Quality Analyst will support the definition of data quality standards, requirements, and specifications for data quality controls in the data lifecycle. They will also provide support for operational processes that measure, monitor and report on data quality levels as well as the remediation of identified data quality issues.
  • The person will meet with various stakeholders to gather and document information, perform data analysis, and conduct assessments of business and technical processes involved in managing data.
Responsibilities
  • Data Quality Remediation Collaborate with internal stakeholders to gather information and document identified data quality issues.
  • Perform root cause analysis of identified data quality issues.
  • Collaborate with cross-functional teams to support development and implementation of remediation plans to promptly resolve identified data quality issues.
  • Data Quality Measurement, Monitoring and Reporting Processes
  • Define and develop data quality metrics based upon data quality standards.
  • Support the development of automated data quality reports and dashboards. In partnership with Data Stewards, monitor data quality levels and respond to alerts when data quality metrics for critical data elements are outside the acceptable data quality thresholds.
  • Data Quality Management Framework
  • Collaborate with business stakeholders to identify business needs and opportunities for data quality improvement, including identifying data critical to meeting business needs.
  • Perform an assessment of the data to understand data content and relationships and comparing actual data to rules and expectation.
  • Develop standards and templates for documenting data quality rules so they have a consistent format and meaning.
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