Senior Data Quality Analyst

BOK Financial Corporation

Dallas, Northern (TX, KY)

On-site

USD 90,000 - 130,000

Full time

12 days ago

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Benefits offered by this job

Discretionary bonus

Job summary

BOK Financial is seeking a Senior Data Quality Analyst to support enterprise-level data quality initiatives, including profiling, measurement, issue detection, root-cause analysis, and remediation testing. You will partner with data stewards to identify problems and implement practical solutions.

This role drives a culture of data quality by ensuring practices align with regulatory expectations and improve operational efficiency across the organization, while collaborating with business and

Qualifications

  • Bachelor’s degree in MIS, Statistics, Computer Science, or related field.
  • 5–7 years of data governance or data-driven experience preferred.
  • Strong data quality practices and enterprise information management concepts.
  • Knowledge of regulations such as CCPA, GDPR, HIPAA, SOX, and GLBA.
  • Excellent written and verbal communication and analytical skills.

Responsibilities

  • Profile and validate enterprise data to identify quality exceptions, trends, and root causes.
  • Analyze data quality issues for senior leaders and partners, providing clear recommendations for resolution.
  • Collaborate with Business and Technical Data Stewards to define quality rules, monitor metrics, and verify remediation results.
  • Develop and maintain data quality indicators, scorecards, and reports that strengthen transparency and decision-making.
  • Contribute to improving enterprise data quality frameworks, standards, and best practices.
  • Ensure data quality considerations are embedded in system changes and data-related initiatives.
  • Promote data quality awareness through documentation, training, and ongoing stakeholder engagement.
  • Build processes, KPIs, and metadata practices that support governance, MDM rules, regulatory requirements, and tool adoption.

Skills

Data quality
Regulatory knowledge
Analytical thinking
Communication
Independent work

Education

Bachelor’s degree in MIS, Statistics, Computer Science, or related field

Tools

Power BI

Job description

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Senior Data Quality Analyst

Areas of Interest: Enterprise Data

Pay Transparency Salary Range: Not Available

Application Deadline: 09/30/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®.

Bonus Type

Discretionary

Summary

BOK Financial is a top financial institution that offers a range of sophisticated financial products and services, focusing on personalized client relationships. With over a century of experience, we serve consumers, businesses, and wealth clients across the American Midwest and Southwest. We emphasize long-term relationships, community investment, and talent development, aligning with our brand platform, "We go above. So you can go beyond."

Job Description

The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis, documentation, issue detection, root cause analysis, and remediation testing. This role partners closely with business and technical data stewards to identify data quality issues, recommend practical solutions, and contribute to the development and maintenance of business and data architecture artifacts.

The position plays a critical role in advancing a strong, sustainable data quality culture by ensuring that data quality practices are applied in a manner that supports business strategy, complies with regulatory expectations, and improves operational efficiency across the organization.

Team Culture

Our team thrives on collaboration, continuous learning, and innovation. We work closely together, leveraging cutting-edge technologies and sharing our expertise to solve complex problems efficiently. By encouraging creativity and adaptability, we experiment with new tools and methodologies, fostering a dynamic and tech-forward work environment. Additionally, we focus on creating a positive and supportive atmosphere, ensuring everyone feels valued and motivated to excel.

How You'll Spend Your Time
  • You will profile and validate enterprise data to identify quality exceptions, trends, and root causes.
  • You will analyze data quality issues for senior leaders and partners, providing clear recommendations for resolution.
  • You will collaborate with Business and Technical Data Stewards to define quality rules, monitor metrics, and verify remediation results.
  • You will develop and maintain data quality indicators, scorecards, and reports that strengthen transparency and decision‑making.
  • You will contribute to improving enterprise data quality frameworks, standards, and best practices.
  • You will ensure data quality considerations are embedded in system changes and data‑related initiatives.
  • You will promote data quality awareness through documentation, training, and ongoing stakeholder engagement.
  • You will build processes, KPIs, and metadata practices that support governance, MDM rules, regulatory requirements, and the adoption of BOKF tools and automation.
Education & Experience Requirements

This level of knowledge is normally acquired through completion of a Bachelor’s degree in MIS, Statistics, Computer Science, or a related field. Minimum 5–7 years of experience in a data-driven or data governance–focused role within the financial services sector is strongly preferred.

  • Strong understanding of data quality practices and enterprise information management concepts
  • Working knowledge of regulations such as CCPA, GDPR, HIPAA, SOX, and GLBA
  • Experience designing and executing data integrity and validation tests
  • Experience with data modeling and process documentation tools
  • Experience with Power BI or similar reporting tools preferred
  • Strong written and verbal communication skills with the ability to translate complex data issues into clear insights
  • Excellent analytical and problem-solving skills, including the ability to identify patterns, dependencies, and root causes
  • Strong organizational skills with the ability to manage multiple priorities in a dynamic environment
  • Ability to work independently while collaborating effectively across business and technical teams
  • Demonstrated professionalism, curiosity, and commitment to data quality excellence

BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees.With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career!
The companies in BOK Financial Corporation Group are equal opportunity employers. We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status.

Investing in our talent and building a great workplace is a top priority for us.

For more than a century, BOK Financial Corporation has helped fuel the success of clients and communities. Since our humble beginnings in Tulsa, Oklahoma, we’ve grown into a diversified financial services company that serves consumers, small businesses and international corporations—and everything in between.

Facts:

  • Operations focused in an eight-state footprint
  • 5,000 team members
  • $53.2 billion in assets*
  • $129.3 billion in assets under management and administration*
  • $9.3 million donated to local nonprofits in 2025
  • 56,000 volunteer hours by our employees in 2025


Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth
Job Segment: Computer Science, Data Architect, Data Modeler, SQL, Database, Technology, Data

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