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Data Profiling Jobs (NOW HIRING)

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

Analysis & Reporting o Conduct data profiling and quality assessments on new and existing datasets. o Perform root cause analysis and recommend corrective actions. o Create executive-level reporting ...

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

Data Profiling, QA & UAT * Profile new and existing data sources using SQL and built-in profiling tooling for completeness, consistency, and fitness for intended business use. * Develop test cases ...

iTech US, Inc.

Data Analyst

Charlotte, NC · On-site

Experience with data profiling, cleansing, validation, and transformation. * Strong analytical and problem-solving abilities. * Experience working with large datasets and relational databases.

Ask IT consulting

Data Modeler (W2)

San Antonio, TX

$49.50 - $64/hr

Data Profiling and discovery tools such as IBM InfoSphere Information Analyzer. Bank Domain Knowledge. Additional Information All your information will be kept confidential according to EEO ...

USM

LEAD Data Modeler

Columbus, OH

$53 - $68.50/hr

Columbus OH Duration: 12-18 Months Top Three Skills: 1. Data profiling 2. Source to target Mappings 3. Data Modeling- Logical, Physical, Conceptual 4. Data visualization 5. SQL experience is also ...

Judge Group, Inc.

Data Engineer

Plano, TX · On-site

$70 - $75/hr

Required Qualifications * 5+ years of experience in data modeling, data warehousing, data analysis, and data profiling * Strong ability to identify trends, patterns, and anomalies in large datasets

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

Analysis & Reporting o Conduct data profiling and quality assessments on new and existing datasets. o Perform root cause analysis and recommend corrective actions. o Create executive-level reporting ...

AIG

Data Quality Analyst - GenAI

Atlanta, GA · On-site

Responsibilities : • Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies. • Identify, analyze, and document ...

Ask IT consulting

Data Analyst

New York, NY

This is critical to establishing the entire universe of Mainframe fields and data currently in use and understanding the nature and purpose of each field for the data profiling/cleansing exercise.

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Conduct data profiling and quality assessments on new and existing datasets. * Perform root cause analysis and recommend corrective actions. * Create executive-level reporting on data quality trends ...

Collabera

Business/Data Analyst

Charlotte, NC

... with Data Profiling and documentation thru various methods/tools Provides technical assistance in identifying, evaluating, and developing systems and procedures that are costeffective and meet ...

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Showing results 41-60

All JobsData Profiling Jobs

Data Profiling information

See salary details

$34K

$82.6K

$136K

How much do data profiling jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data profiling 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 is the difference between Data Profiling vs Data Analyst?

AspectData ProfilingData Analyst
Primary FocusAnalyzing data for quality, structure, and patternsInterpreting data to generate insights and reports
Skills RequiredData analysis, SQL, data quality toolsData analysis, visualization, statistical skills
Work EnvironmentData warehouses, ETL processes, data governanceBusiness intelligence tools, dashboards, reporting platforms
CertificationsData quality certifications, SQL certificationsData analysis certifications, Tableau, Excel

Data Profiling primarily involves examining data sets to assess quality and structure, often as a preliminary step in data management. Data Analysts focus on interpreting data to provide actionable insights and support decision-making. While both roles require analytical skills and familiarity with data tools, Data Profiling emphasizes data quality and structure, whereas Data Analysts concentrate on analysis and reporting.

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

To thrive as a Data Profiling Specialist, you need a solid understanding of data analysis, data quality assessment, and database management, often supported by a degree in computer science or a related field. Familiarity with profiling tools such as Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and data visualization software, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret results and convey findings to stakeholders. These skills and qualities are crucial for ensuring data accuracy, driving informed business decisions, and improving overall data governance.

What is data profiling?

Data profiling is the process of examining, analyzing, and summarizing data from existing sources to understand its structure, content, and quality. It helps organizations identify inconsistencies, errors, and patterns within their data, which is crucial for data quality initiatives, data migration projects, and business intelligence tasks. Data profiling typically involves assessing data types, frequency, uniqueness, and relationships among data elements. The insights gained enable better data management, improved decision-making, and more efficient data integration.

What are some typical challenges faced in a data profiling role and how can they be addressed?

Professionals in data profiling often encounter challenges such as dealing with incomplete, inconsistent, or poor-quality data from various sources. Addressing these issues requires strong analytical skills, attention to detail, and the use of specialized data profiling tools to identify anomalies and patterns. Collaborating closely with data engineers, business analysts, and stakeholders is essential to communicate findings and recommend improvements, ensuring data quality for downstream processes. Regularly updating profiling techniques and staying current with industry best practices also helps in overcoming evolving data challenges.

What does a data profiling do?

A data profiling professional analyzes data sets to assess their quality, structure, and content, identifying inconsistencies, missing values, and patterns. This process helps ensure data accuracy and readiness for analysis or integration, often using tools like SQL or data profiling software as part of data management tasks.
More about Data Profiling jobs
What cities are hiring for Data Profiling jobs? Cities with the most Data Profiling job openings:
What states have the most Data Profiling jobs? States with the most job openings for Data Profiling jobs include:
What job categories do people searching Data Profiling jobs look for? The top searched job categories for Data Profiling jobs are:
Data Profiling jobs near you
Infographic showing various Data Profiling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Quality / Data Governance Analyst

Conch Technologies Inc

New York, NY • On-site

Contractor

Posted 28 days ago

Job description

Job Title: Senior Data Quality / Data Governance Analyst

Location: Remote
Job Type: 6+ Months

Note : W2 role No C2CJob Summary

We are seeking a highly experienced Senior Data Quality / Data Governance Analyst to support enterprise data governance and data quality initiatives. This hybrid role combines hands-on data quality analysis with data governance responsibilities, requiring a strong technical background along with excellent business communication skills. Experience in the mortgage domain is highly preferred.

 Key Responsibilities
  • Lead data quality and data governance initiatives across enterprise data platforms.
  • Define, document, and manage critical data elements (CDEs), metadata, business glossaries, and data classifications.
  • Develop and maintain business glossaries using enterprise data catalog tools.
  • Gather, analyze, and document business rules, translating them into data quality rules where applicable.
  • Perform data profiling, validation, cleansing, and quality assessments.
  • Build and understand data lineage through source-to-target mappings.
  • Work closely with Business Data Owners, Data Stewards, and project stakeholders to improve data governance practices.
  • Classify sensitive and regulated data, including PII, and apply appropriate governance standards.
  • Support metadata management and data cataloging activities using modern governance tools.
  • Interpret business requirements and convert them into actionable data quality and governance solutions.
  • Collaborate with technical and business teams to ensure data accuracy, consistency, and compliance.
 Required Qualifications
  • 8+ years of experience in Data Quality, Data Governance, or related data management roles.
  • Strong experience with SQL, data profiling, and data analysis.
  • Hands-on experience with Snowflake, Databricks, and Microsoft Azure.
  • Strong understanding of ETL processes, data warehousing, and source-to-target mappings.
  • Experience with enterprise data catalog tools such as Collibra, Alation, Informatica IDMC, or similar platforms.
  • Experience creating and managing business glossaries, metadata, and critical data elements (CDEs).
  • Knowledge of data lineage, metadata management, and data classification.
  • Ability to identify and classify sensitive data, including PII.
  • Excellent communication skills with experience working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
 Preferred Qualifications
  • Experience in the mortgage or financial services industry.
  • Experience with Informatica IDMC or Microsoft Purview.
  • Knowledge of Alteryx or Informatica Data Quality tools.
  • Background in Data Modeling or Data Architecture.
  • Experience implementing data quality rules from documented business requirements.
  • Familiarity with data privacy and regulatory compliance standards.