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From Home Data Quality Analyst Jobs (NOW HIRING)

$90 - $130/hr

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 ...

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

Utilize profiling tools to analyze source data from QuikTrip systems. i. Base profiling: structure ... Identify and document data quality issues; recommend data cleansing, transformation, or enrichment ...

... analytical and reporting functions, as well as monitoring performance and quality assurance ... Major Responsibilities Under direction from the Director, Complaints Management, the Senior Data ...

$145 - $264/hr

Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding ... Own external reporting, from instrumentation QA to business logic updates to report generation and ...

Location: 4910 Tiedeman Road, Brooklyn Ohio Job Summary The Enterprise Data Quality team at KeyBank is seeking a highly motivated and detail-oriented Data Quality Senior Analyst to lead the daily ...

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From Home Data Quality Analyst information

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How much do from home data quality analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for from home data quality analyst in the United States is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $60.34 per hour, depending on experience, location, and employer.

What is a from home data quality analyst?

A From Home Data Quality Analyst is a professional who works remotely to ensure that an organization's data is accurate, consistent, and reliable. They review data for errors, validate datasets, and develop processes to improve overall data quality. These analysts use specialized tools and collaborate with other teams to identify and resolve data issues. Working from home, they rely on communication platforms and data management software to perform their tasks efficiently. This role is essential for organizations that depend on high-quality data for decision-making and operations.

What are the key skills and qualifications needed to thrive as a from home data quality analyst?

To thrive as a From Home Data Quality Analyst, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in statistics, computer science, or a related field. Familiarity with data analysis tools like SQL, Excel, and data visualization platforms, as well as knowledge of data quality frameworks, is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and resolving data discrepancies. These skills ensure accurate data processing, support informed business decisions, and maintain data integrity in a remote work environment.

How does a from home data quality analyst typically collaborate with remote team members and stakeholders?

As a From Home Data Quality Analyst, you'll regularly interact with remote colleagues, project managers, and data engineers through digital collaboration tools like Slack, Teams, and shared documentation platforms. Clear communication is essential for discussing data inconsistencies, reporting findings, and suggesting improvements. You may join scheduled video meetings or asynchronous discussions to align on project goals and resolve data quality issues. Successful analysts proactively share updates and are responsive to feedback, fostering a collaborative virtual work environment despite physical distance.
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Infographic showing various From Home Data Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $100,740 per year, or $48.4 per hour.

$90 - $130/hr

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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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