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Data Quality Analyst; DQ Analytics Tool, SQL, data analytics, data quality, unit testing, versi

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: DBA Web Technologies
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Quality Analyst (DQ Analytics Tool, SQL, data analytics, data quality, unit testing, versi[...]

Data Quality Analyst (DQ Analytics Tool, SQL, data analytics, data quality, unit testing, version controls, data lineage) in McLean, VA

Job Function:
Data Quality Analyst

Date Of Job Posting: 12-01-2021

Data Quality Analyst (DQ Analytics Tool, SQL, data analytics, data quality, unit testing, version controls, data lineage) in McLean, VA

LOCATION:

McLean, VA

SALARY:
Excellent Compensation with benefits + Relocation + 401K + 5% Bonus

DURATION:
Full-Time Position - 3 days onsite; 2 days remote

DESCRIPTION

ROLE:

  • Set up data source, conduct profiling, calibration, and configure workflows as per requirements
  • Conduct Ad-Hoc DQ analyses
  • Provide expertise in DQ Analytics Tool capabilities and functionalities
  • Serve as point of contact between Freddie Mac and DQ Analytics Vendor
  • Maintain and monitor DQ profiles and processes
  • Monitor scorecards and reports for tracking and reporting
  • Initiate workflows, tickets for Issue / Incident Resolution
  • Drive change management and support tool upgrades
Qualifications:
  • Typically 2-4 years of experience in data analytics, data quality, or data integration
  • Understanding of relational database concepts and ability to write basic SQL statements
  • Experience using SQL IDEs such as Rapid SQL and Oracle Developer
  • Proficient with MS Office applications with advanced Excel skills
  • Basic understanding of UNIX and Share Point
  • Excellent written and verbal communication skills
  • Experience in developing business rules (Preferred)
  • Familiarity with cloud-native data and analytics (Preferred)
  • Experience using technologies for data processes supporting data transformation, data structures, metadata, dependency and workload management (Preferred)
  • Experience using technologies for building data pipelines that includes development unit testing, version controls, data lineage, mapping and data quality/movements validations (Preferred)
Keys to Success in this Role:
  • Strong organizational skills
  • Ability to manage and prioritize multiple tasks simultaneously
  • Ability to collaborate with people from a diverse set of backgrounds
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