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Data Profiling Jobs (NOW HIRING)

Responsibilities include data profiling, source-to-target mapping, data quality assessment, validation planning, reconciliation support, and documentation of migration requirements. During migration ...

SQL, ETL understanding, data profiling, data warehouse knowledge. * Ability to read, query, and analyze data. * Business skills: * Work directly with the business, understand data purpose, interpret ...

Enterprise Data Modeler

Richmond, VA ยท On-site

$54.25 - $70.25/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. * Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

... โ€ข Data Profiling & Quality Assessment: โ€ข Perform detailed data profiling (manual and tool-based) to assess data completeness, validity, and consistency โ€ข Leverage data profiling and data ...

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Conduct data profiling and data quality assessments. * Support data governance initiatives by documenting data lineage and business definitions. * Prepare reports, dashboards, and analytical insights ...

Conduct data profiling and data quality assessments. * Support data governance initiatives by documenting data lineage and business definitions. * Prepare reports, dashboards, and analytical insights ...

Enterprise Data Modeler

Richmond, VA ยท On-site

$54.25 - $70.50/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. * Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

Data profiling strategy for CCH data Data profile plan, activities and artifacts Data cleansing strategy Detailed data cleansing processes/routines/programs/scripts SOW 16-17-045 Page 3 Comprehensive ...

Expertise in data quality frameworks, data profiling, and data validation techniques. * Hands-on experience with data standardization, including address standardization and enrichment. * Familiarity ...

Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality. * Assist in the coaching and training of ...

Enterprise Data Modeler

Richmond, VA ยท On-site

$54.25 - $70.25/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. * Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

Data profiling strategy for CCH data Data profile plan, activities and artifacts Data cleansing strategy Detailed data cleansing processes/routines/programs/scripts SOW 16-17-045 Page 3 Comprehensive ...

Data Architect

Clark, NJ ยท On-site

$66 - $84.75/hr

Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data, data cleansing services Activities: data modeling ...

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Data Profiling information

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$34K

$82.6K

$136K

How much do data profiling jobs pay per year?

As of Jun 26, 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.

Is 40 too late for data science?

Data profiling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python. Continuous learning and experience are more important than age when pursuing a data science role.

Is AI replacing data analysts?

AI is automating certain tasks within data profiling and analysis, such as data cleaning and pattern recognition, but it does not fully replace data analysts. Data analysts are needed to interpret insights, make strategic decisions, and oversee AI tools, requiring skills in critical thinking, domain knowledge, and data visualization. The role continues to evolve with a focus on combining human expertise with AI capabilities.

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 does a data profiler do?

A data profiler analyzes datasets to assess their quality, structure, and content, identifying issues such as missing values, inconsistencies, or anomalies. This process helps ensure data accuracy and readiness for analysis or processing, often using tools like SQL, Python, or specialized data profiling software.

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.

Is a data analyst highly paid?

Data analysts are generally well-compensated, with salaries varying based on experience, location, and industry. Professionals with skills in data visualization, SQL, and statistical analysis tend to earn higher salaries, especially in competitive markets or with advanced certifications. Overall, data analysis is considered a lucrative field with strong earning potential.
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:
Infographic showing various Data Profiling job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Procentrix

Washington, DC โ€ข On-site

Other

Posted 10 days ago


Job description

The Data Analyst supports the planning and execution of data migration and data quality activities for a large-scale Microsoft-based modernization initiative. Working under the direction of the Data Migration Lead, this role is responsible for analyzing source systems, profiling data, documenting business rules, and supporting migration planning and execution activities.

The Data Analyst will work with business stakeholders and technical teams to understand data structures, relationships, and usage patterns across legacy and modern platforms. Responsibilities include data profiling, source-to-target mapping, data quality assessment, validation planning, reconciliation support, and documentation of migration requirements.

During migration execution, the Data Analyst will assist with data cleansing, validation, testing, and issue resolution activities to ensure migrated data is accurate, complete, and fit for operational use. The role will collaborate closely with application, integration, testing, and reporting teams to support Agile delivery schedules and evolving business priorities.

The ideal candidate is analytical, detail-oriented, and comfortable working with both business users and technical teams to solve data-related challenges.

Required Skills
  • 4+ years of experience in data analysis, data migration, or data management
  • Experience working with Microsoft technologies, including SQL Server, Azure SQL, Dataverse, Azure Data Services, etc.
  • Experience analyzing complex data structures and relationships
  • Experience with data profiling, cleansing, and validation activities
  • Experience documenting business rules and data requirements
  • Experience creating source-to-target mapping documentation
  • Knowledge of relational databases and SQL
  • Experience supporting testing and reconciliation activities
  • Experience working in Agile environments
  • Strong analytical and communication skills
  • Bachelor''s degree or equivalent experience
  • Ability to obtain and maintain required government clearances, if applicable.
  • Willingness to work onsite in Washington, DCย during the discovery and planning phase of the project
Desirable Skills
  • Experience with Azure Data Factory
  • Experience with Power Platform or Dataverse
  • Experience supporting data migration projects
  • Experience with data quality or data governance initiatives
  • Experience with reporting and analytics solutions
  • Active federal government public trust clearance