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Contract Data Quality Analyst Jobs (NOW HIRING)

Contract Overview We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain.

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 ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

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 ...

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major ...

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major ...

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Contract Data Quality Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 10, 2026, the average yearly pay for contract 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 a contract data quality analyst, and why are they important?

To thrive as a Contract Data Quality Analyst, you need strong analytical abilities, attention to detail, and a background in data management or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools such as SQL, Excel, and data quality management software, as well as experience with contract management systems, is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help set top performers apart. These skills ensure the accuracy, integrity, and reliability of contract data, which is critical for informed decision-making and regulatory compliance.

What are some common challenges faced by contract data quality analysts, and how can they be addressed?

Contract Data Quality Analysts often encounter challenges such as inconsistent data sources, incomplete records, and varying data standards across departments. Addressing these issues typically involves developing clear data quality protocols, collaborating closely with both IT and business teams to align on data definitions, and utilizing data profiling tools to identify and resolve anomalies. Staying proactive in communication and regularly reviewing data processes can help ensure accuracy and maintain high data quality standards. Additionally, documenting processes and findings supports continuous improvement and knowledge-sharing within the team.

What is a contract data quality analyst?

A Contract Data Quality Analyst is a professional responsible for reviewing, validating, and ensuring the accuracy and integrity of data within contracts and related documentation. They analyze data for consistency, completeness, and compliance with organizational standards or regulatory requirements. This role often involves using specialized software to identify errors, discrepancies, or gaps in contract data. Contract Data Quality Analysts play a key role in supporting business decision-making and minimizing risks associated with inaccurate or incomplete contract information.

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

AspectContract Data Quality AnalystContract Data Analyst
CertificationsData quality, data management certificationsData analysis, business intelligence certifications
Work EnvironmentFocus on data accuracy, validation, and quality controlFocus on data interpretation, reporting, and insights
Employer UsageUsed in industries prioritizing data integrityUsed in industries emphasizing data-driven decision making

The Contract Data Quality Analyst primarily ensures data accuracy and quality, working on validation and cleansing processes. In contrast, the Contract Data Analyst interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their focus areas differ, making each essential for different stages of data management.

More about Contract Data Quality Analyst jobs
What cities are hiring for Contract Data Quality Analyst jobs? Cities with the most Contract 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 Contract Data Quality Analyst jobs? States with the most job openings for Contract Data Quality Analyst jobs include:
Infographic showing various Contract Data Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Quality Analysts

Purple Hires Inc

Boston, MA • On-site

Contractor

Re-posted 22 hours ago


Job description

Job Position: Data Quality Analysts

Location: Boston, MA - Onsite 

Duration: Contract

 

Overview

We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. 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 enhancements to existing processes
  • Analyze and solve complex problems related to data quality in the Investment Banking domain
  • Collaborate with cross-functional teams to ensure data integrity across various systems
  • Support Business System Analysis, Project Management, and Quality Assurance initiatives
  • Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations
  • Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
  • Engage in extended testing areas, including End to End Performance Testing
  • Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
  • Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
  • Perform Data Quality Assessments and audits to evaluate data quality
  • Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
  • Maintain detailed documentation of data quality processes and standards
  • Create and present reports on data quality metrics and improvements to management

Required Skills

  • Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
  • Proficient in SQL, ETL and various data analysis tools
  • Well-versed in Charles River IMS (CRD) and its functionalities
  • Excellent analytical and problem-solving skills
  • Experienced in quality assurance life cycles and testing methodologies
  • Effective communicator, capable of engaging with both technical and non-technical stakeholders
  • Detail-oriented, skilled in identifying and correcting data discrepancies and errors
  • Strong analytical skills for examining data and recognizing patterns or issues
  • Familiarity with Agile methodology and Atlassian tools is advantageous
  • Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
  • Knowledge in snowflake
  • Problem-solving skills to devise solutions for enhancing data quality
  • Excellent verbal and written communication abilities for collaborating with team members and stakeholders
  • Self-motivated and proactive in identifying and resolving data quality issues
  • Strong organizational skills and attention to detail
  • Ability to work independently and as part of a team
  • Eager to learn and adapt to new technologies and methodologies