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Data Profiling Jobs (NOW HIRING)

Data Analyst with Data Profiling. Sunnyvale, CA * Document reporting requirements for business capability build on functional and reporting tools * Perform data profiling and availability analysis ...

Sr. Data Analyst

Jersey City, NJ ยท On-site

$89.80K - $113.20K/yr

Data profiling must be strong, Migration Data Analysis Domain- Transaction management and trade life cycle, fixed income, custody, 5-7 years financial experience Should go lower on business side and ...

Data Analyst

Newark, DE ยท On-site

Execute data profiling and data quality testing and reporting tasks as assigned * Help execute the firm wide data vision and strategy as pertains to all Data Profiling, and Data Quality Testing and ...

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

Data Profiling analysis * Completeness Analysis * Uniqueness Analysis * Values Distribution Analysis * Range Analysis * Pattern Analysis * Liaising with Functional team to gather Functional design ...

Data Analyst

Tempe, AZ ยท On-site

Perform end-to-end data analysis, profiling, and integration across complex datasets. * Support data warehouse development and analytics initiatives through advanced SQL/PLSQL programming. * Document ...

Mortgage Senior Data Analyst

Manhattan, NY ยท On-site

$94.80K - $119.60K/yr

Strong SQL for data profiling and analysis * Experience with ETL, data warehouses, and data marts * Agile experience (Jira) * Mortgage domain experience (required) * Command-line and Python script ...

Data Analyst

Tempe, AZ ยท On-site

Perform end-to-end data analysis, profiling, and integration across complex datasets. * Support data warehouse development and analytics initiatives through advanced SQL/PLSQL programming. * Document ...

Mortgage Senior Data Analyst

Manhattan, NY ยท On-site

$94.80K - $119.60K/yr

Strong SQL for data profiling and analysis * Experience with ETL, data warehouses, and data marts * Agile experience (Jira) * Mortgage domain experience (required) * Command-line and Python script ...

Conduct data profiling to identify data differences between current and target state database. Need experience on data profiling. Facilitate walkthroughs of deliverables with business and technology ...

Conduct data profiling to identify data differences between current and target state database. Need experience on data profiling. Facilitate walkthroughs of deliverables with business and technology ...

Data profiling experience * Good communication. Will present. Day to Day Responsibilities/project specifics: This resource will be responsible for data profiling. They will not be correcting the data ...

Data Engineer

Cleveland, OH ยท On-site

$110.90K - $133.10K/yr

Job duties involve profiling data, developing data transformation jobs and processes, measuring data quality, and designing data warehouse data models, evaluating usability and testing data models ...

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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 3, 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 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 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 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 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.

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:
Data Analyst with Data Profiling

Data Analyst with Data Profiling

PamTen

Sunnyvale, CA โ€ข On-site

Other

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Job description

Data Analyst with Data Profiling.
Sunnyvale, CA
Job Description
  • Document reporting requirements for business capability build on functional and reporting tools
  • Perform data profiling and availability analysis working with SMEs and business representatives to understand current data
  • Create, define and document data integration, migration, and transformation requirements, along with current-to-future state mapping and non-functional requirements, where required
  • Evaluate the quality of the data, identify and interpret trends or patterns in data sets
  • Document data quality rules for key attributes and work with data quality analysts and business stakeholders on improving quality
  • Facilitate data harmonization conversations with global business stakeholders
  • Participate and support business stakeholders in data governance discussions for key data attributes
  • Ability to create Tableau dashboards
  • Excellent verbal and written communication to clearly present data insights and collaborate effectively with teams
  • Maintain data dictionary and business glossary for their data domains
  • Meticulous attention to detail
  • Participate in data testing and validation