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

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

Data Analysis, Data Analytics, data lineage, SQL

Location: Virginia

Job Function: Data Quality Analyst

Date Of Job Posting: 12-01-2021

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

POSITION: Data Quality Analyst (DQ Analytics Tool, SQL, data analytics, data quality, unit testing, version controls, data lineage)

LOCATION: McLean, VA

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

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

SKILLS: DQ Analytics Tool, DQ Profiles, SQL, data analytics, data quality, unit testing, version controls, data lineage, mapping, data quality

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 SharePoint

•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:

•Intellectual curiosity

•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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