Data Quality Analyst

TEKsystems•Dallas, TX

1d•$60 - $70•Hybrid

About The Position

The Data Quality Analyst is an individual contributor within the Data Quality team, responsible for executing data quality activities to ensure critical business data is accurate, consistent, and trusted across the enterprise data supply chain. This role supports a project with an initial focus on delivering data quality outcomes aligned to Data Trust, Master Data Management (MDM), and Data Architecture, and contributing to scalable, repeatable data quality processes.

Requirements

Experience supporting enterprise data transformation programs
Exposure to financial services or wealth management data domains
Experience implementing or working within structured data quality frameworks (CDEs, scorecards, rule libraries)
Experience integrating data quality outputs into enterprise reporting environments
3+ years of experience in data quality, data analysis, or data management
Strong SQL skills and experience analyzing large data sets
Experience translating business rules or pseudo code into technical logic
Experience with data profiling and data quality assessment techniques
Experience building dashboards and reports (e.g., Tableau, Power BI)
Hands-on experience with data quality tools (e.g., Informatica Data Quality, Ataccama, Collibra DQ, Talend, Great Expectations or similar)
Understanding of data quality concepts including rules, metrics, monitoring, and root cause analysis
Familiarity with data governance, metadata, lineage, and/or MDM concepts
Ability to work across business and technical teams
Strong analytical thinking, problem-solving ability, and attention to detail
Demonstrated ability to apply AI, automation, or advanced analytics to improve efficiency and scale

Nice To Haves

Experience with master data management tools, rules, configuration and data quality requirements is highly desired.
Strong knowledge of data quality frameworks, including rule categorization, taxonomy, and data quality dimensions

Responsibilities

Execute data quality activities supporting PCB data workstream delivery
Translate business-defined data quality rules (including pseudo code) into technical specifications and SQL-based logic for implementation
Validate that implemented rules align with business definitions, CDE requirements, and expected outcomes
Profile and analyze data to identify quality issues across completeness, accuracy, consistency, and other standard dimensions
Leverage AI and automation to streamline data profiling, rule development, monitoring, and issue management
Apply data quality frameworks, including rule categorization, taxonomy, and standard data quality dimensions
Monitor data quality using scorecards, metrics, and dashboards (e.g., Tableau, Power BI)
Design and develop data quality reporting to track data health and rule performance
Maintain data quality issue logs and support prioritization based on business impact
Perform root cause analysis and partner with upstream teams on remediation
Trace data across the data supply chain to validate integrity across systems
Collaborate with business and technical stakeholders to validate rules and data quality expectations
Support documentation of metadata, business rules, and data definitions aligned to the Data Trust model
Contribute to development of repeatable processes and standards for managing data quality at scale