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Data Quality Analyst Jobs in Tennessee (NOW HIRING)

A.O. Smith

Corporate Quality Analyst

Ashland City, TN · Hybrid

The NAWH Quality Engineer plays a key role in ensuring our water heater products meet or exceed ... Responsibilities Data Analysis & Reporting * Analyze claim data to identify patterns in product ...

Revecore

Data Operations Analyst

Franklin, TN · Remote

Drivethe design and implementation of end-to-end data quality frameworks to ensure accuracy ... Analyze data toidentifytrends, anomalies, and root causes, and drive improvements to systems and ...

NASBA

Senior Data Analyst

Nashville, TN · Hybrid

$83K - $104K/yr

The role is accountable for the quality, adoption, and business value of assigned analytics and reporting, while supporting strong data governance, security, and responsible use of data. The Senior ...

LHH US

Data Analyst

Nashville, TN

$60K/yr

Analyze large and complex datasets to identify trends, risks, opportunities, and performance ... Validate data quality and ensure accuracy across reporting environments. * Collaborate with data ...

LHH US

Data Analyst

Nashville, TN · On-site

$60K/yr

Analyze large and complex datasets to identify trends, risks, opportunities, and performance ... Validate data quality and ensure accuracy across reporting environments. * Collaborate with data ...

Synopsys

Data Analyst, Sr Director

Nashville, TN · On-site

$184 - $276/hr

Define and enforce standards for data architecture, data modeling, data quality, governance ... Collaborate across engineering, analytics, product, and business teams to enable effective data ...

UT Federal Credit Union

Data Analyst

Knoxville, TN · On-site

Data Analyst Location: UT Federal Credit Union Corporate Headquarter (Onsite) At UT Federal Credit ... Improve data governance, quality, consistency, and usability across the organization. * Support and ...

UT Federal Credit Union

Data Analyst

Knoxville, TN

Data Analyst Location: UT Federal Credit Union Corporate Headquarter (Onsite) At UT Federal Credit ... Improve data governance, quality, consistency, and usability across the organization. * Support and ...

UT Federal Credit Union

Data Analyst

Knoxville, TN · On-site

Improve data governance, quality, consistency, and usability across the organization.Support and ... Excellent analytical, problem-solving, and communication skills.Ability to collaborate effectively ...

Alpha Omega Integration

Data Analyst

Millington, TN · On-site

$65K - $71K/yr

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite ... quality to meet the organization's information system needs and requirements. Applies specific ...

Alpha Omega Integration

Data Analyst

Millington, TN · On-site

$65K - $71K/yr

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite ... quality to meet the organization's information system needs and requirements. Applies specific ...

Alpha Omega Integration LLC

Data Analyst

Millington, TN · On-site

$65K - $71K/yr

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite ... quality to meet the organization's information system needs and requirements. Applies specific ...

Holley Performance

CXM Data Analyst

Nashville, TN · On-site

Reporting to the Senior Manager of Data Analytics, this mid-level role combines hands-on reporting ... Reporting & Dashboards Develop, Build, maintain, and quality-check recurring performance reports ...

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Data Quality Analyst information

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How much do data quality analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data quality analyst in Tennessee is $43.96, according to ZipRecruiter salary data. Most workers in this role earn between $31.39 and $54.76 per hour, depending on experience, location, and employer.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

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

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

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

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.
What are the most commonly searched types of Data Quality Analyst jobs in Tennessee? The most popular types of Data Quality Analyst jobs in Tennessee are:
What are popular job titles related to Data Quality Analyst jobs in Tennessee? For Data Quality Analyst jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Quality Analyst jobs in Tennessee look for? The top searched job categories for Data Quality Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Data Quality Analyst jobs? Cities in Tennessee with the most Data Quality Analyst job openings:
What are popular job titles related to Data Quality Analyst jobs in TN? For Data Quality Analyst jobs in TN, the most frequently searched job titles are:
Data Quality Analyst jobs near you
Infographic showing various Data Quality Analyst job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $91,434 per year, or $44 per hour.

Sr. Associate, Data Quality Engineering

Fortitude Re

Nashville, TN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

The Data Quality Engineer is a mid-level technical role within the Data Governance team, responsible for designing, building, and maintaining automated data quality frameworks. The role partners closely with data engineers, actuaries, and business analysts to embed quality controls across the data lifecycle, from ingestion through to reporting, ensuring that risk, claims, and treaty data meet the accuracy and completeness standards required for regulatory compliance and sound decision-making. 

The position reports to the VP, Data Governance.  

What You Will Do: 

  • Design, develop, and maintain automated data quality checks, validation rules, and exception-handling pipelines using Python. 

  • Implement and maintain data quality frameworks aligned with DAMA-DMBOK and internal governance standards. 

  • Develop and implement data quality metrics, scorecards, and dashboards to track completeness, accuracy, consistency, timeliness, and validity across reinsurance datasets. 

  • Build and maintain data quality monitoring pipelines that integrate with existing data infrastructure (e.g., data lake, data warehouse, ETL/ELT workflows). 

  • Collaborate with data stewards, data owners, and business stakeholders to define acceptable quality thresholds and remediation workflows. 

  • Investigate root causes of data quality issues across investment data, treaty data, claims data, and exposure datasets; document findings and drive resolution. 

  • Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes. 

  • Maintain comprehensive documentation of quality rules, lineage, and remediation outcomes within the data governance catalog. 

  • Support internal and external audits by providing data quality evidence and lineage reports. 

What You Will Have: 

  • 3-6 years of experience in a data quality, data engineering, or analytics engineering role. 

  • Experience in reinsurance, insurance, or financial services preferred.  

  • Hands-on experience with SQL and working in cloud-based data environments. 

  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.  

  • Strong proficiency in Python for data processing, quality rule development, and pipeline automation (e.g., pandas, Great Expectations, polars) preferred.  

  • Familiarity with data governance principles and frameworks (DAMA-DMBOK, DCAM, or equivalent). 

  • Experience working within structured data environments in financial services, insurance, or reinsurance. 

  • Takes ownership of quality outcomes and delivers solutions end-to-end under limited supervision; identifies gaps before they become issues. 

  • Strong analytical and problem-solving skills with a meticulous attention to detail. 

  • Ability to communicate technical data quality concepts clearly to non-technical business stakeholders. 

  • Understanding of data controls supporting audit, compliance, and reporting requirements preferred.  

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