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Executive Data Quality Analyst Jobs (NOW HIRING)

... 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 ...

Item Data Quality Analyst

Minneapolis, MN ยท On-site

$58K - $104K/yr

As an Item Data Quality Analyst, you would join a global industry leading team, specializing in data management and governance. You would focus on large data quality initiatives, handling data ...

Posted today

Whether you're passionate about transforming public programs, enabling executive decision-making ... Perform data profiling and quality review and analysis. * Perform data quality assessments and ...

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As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization. Key Responsibilities * Perform comprehensive data quality checks and propose ...

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

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Executive Data Quality Analyst information

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$34K

$82.6K

$136K

How much do executive data quality analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive data quality analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an executive data quality analyst, and why are they important?

To thrive as an Executive Data Quality Analyst, you need expertise in data management, data governance, and data analysis, typically supported by a degree in computer science, information systems, or a related field. Familiarity with data quality tools (like Informatica, Talend, or IBM DataStage), SQL, and relevant certifications such as CDMP (Certified Data Management Professional) is often required. Strong attention to detail, strategic thinking, and effective communication are crucial soft skills for influencing stakeholders and ensuring data integrity. These skills are vital for maintaining high data standards and supporting data-driven decision-making at the organizational level.

What does an executive data quality analyst do?

An Executive Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data within an organization, particularly at a strategic or enterprise level. They analyze data processes, identify quality issues, and implement solutions to improve data integrity. Additionally, they often collaborate with leadership to establish data governance frameworks and ensure that data quality aligns with business objectives. Their work plays a crucial role in enabling data-driven decision-making and maintaining regulatory compliance.

How does an executive data quality analyst typically collaborate with other departments to ensure data integrity?

Executive Data Quality Analysts frequently work cross-functionally with IT, business intelligence, and operations teams to establish and enforce data quality standards. They lead initiatives to identify data inconsistencies, design validation processes, and communicate findings to both technical and non-technical stakeholders. Regular meetings and workshops are common for aligning data governance policies and ensuring that all departments adhere to consistent data management practices. This collaboration helps organizations maintain reliable data for decision-making and strategic planning.

What is the difference between Executive Data Quality Analyst vs Data Quality Analyst?

AspectExecutive Data Quality AnalystData Quality Analyst
Required CredentialsBachelor's degree, certifications in data management or quality assuranceBachelor's degree, certifications in data analysis or quality assurance
Work EnvironmentCorporate offices, strategic planning teamsData teams, operational departments
Employer & Industry UsageUsed in senior roles focusing on data governance and strategyUsed across various industries for data validation and analysis

The main difference is that the Executive Data Quality Analyst typically focuses on strategic data governance and quality initiatives at a higher organizational level, often working with senior management. In contrast, the Data Quality Analyst handles day-to-day data validation and quality checks within operational teams. Both roles require similar certifications but differ in scope and responsibilities.

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What cities are hiring for Executive Data Quality Analyst jobs? Cities with the most Executive Data Quality Analyst job openings:
What are the most commonly searched types of Data Quality Analyst jobs? The most popular types of Data Quality Analyst jobs are:
What states have the most Executive Data Quality Analyst jobs? States with the most job openings for Executive Data Quality Analyst jobs include:

Data Quality Analyst

LOG-NET, Inc.

Atlanta, GA โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Log-Net, Inc provides the finest trade, transportation, and logistics information technology systems via the internet.We currently have a unique opportunity in the areas of international logistics process improvement and trading partner management.Your primary roles would be to support the ongoing deployment of a global logistics solutions and to facilitate the management of all supplier interfaces between our clients, including coordinating and monitoring activity with the trading partners, managing the EDI processes, ensuring quality control standards are maintained and setting and maintaining agreed upon service level of standards. If you enjoy a challenging and fast paced demanding environment with customer interaction, we invite you to take a closer look at this opportunity.


Responsibilities

Understand the day-to-day issues that our business faces, which can be better understood with data

Being the point of contact for EDI and reporting around EDI

Successfully onboard and be the point of contact for new trade partners into LOG-NET

Compile and analyze data related to business'/EDI issues

Be able to fully understand LOG-NET's platform and the capabilities of it

Conducting analysis, presentations, and reports on the supply chain outlook.

Developing carrier scorecard reports and analysis.

Integrated logistics communication with trade partners and carriers.

Coordinating client problem solving and troubleshooting.

Self-starter, technical aptitude with an attitude towards learning


Qualifications

Bachelor's or Master's degree in Logistics, Supply Chain, Statistics, Applied Mathematics or equivalent experience

EDI experience preferred

Knowledge of SQL preferred

1-2 years of Analytical experience

Authorization to work in the United States is required for this position