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Data Profiling Jobs (NOW HIRING)

Zencon Group

Data Modeler (1420)

Tallahassee, FL · On-site

$47.50 - $61.50/hr

Administers project team access to the Informatica Data Analysis, Data Quality and Data Cleansing environments Maintains and elaborates existing data profiling and cleansing plans and strategy ...

Collabera

Data Analyst

Newark, DE

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 ...

Kasmo Global

Data Architect

Las Vegas, NV · On-site

$61.25 - $78.75/hr

The ideal candidate will possess deep expertise in data analysis, data profiling, SQL, and Snowflake, and will play a pivotal role in designing, implementing, and optimizing our data models and ...

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

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

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

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

Sonsoft Inc

Data Profiler/Analysis

Baltimore, MD

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

Keylent Inc

Enterprise Data Modeler

Richmond, VA · On-site

$75/hr

Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Analyze data-related system integration challenges and propose appropriate solutions with strategic ...

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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:
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 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 Profiling and Migration Consultant, Celonis Experience Required

Data Profiling and Migration Consultant, Celonis Experience Required

NextStep

Annapolis, MD • On-site

Other

Medical, Retirement, PTO

Posted 3 days ago

Job description

Data Profiling and Migration Consultant, Celonis Experience Required, Annapolis, MD

We are seeking a Data Profiling and Migration Consultant to support statewide ERP implementation, including developing a financial data strategy, assessing current financial and related data, developing a data migration plan, and establishing data governance practices. This position will concentrate on supporting data profiling and migration activities for this digital modernization effort. Experience with Celonis is required and needs to be on your resume. This is a hybrid position, and candidates need to be located in the Annapolis, MD area. 2 to 3 days a week in the office.

Data Profiling and Migration Consultant Responsibilities:

– Participate in data discovery and assessment activities to determine current data quality, data capabilities, and implications on organizational operations and data usage. – Execute data profiling activities and support the review and interpretation of results using Celonis and other analytical tools. – Support data engineering activities to map and transform data prior to ingestion into Celonis for process mining. – Assist with developing a data migration plan for the ERP system. – Coordinate closely with the broader data team to include the data strategy workstream.

Data Profiling and Migration Consultant Qualifications:

– Requires a University Degree and a minimum of 4 years of experience. – Experience with Celonis and/or financial management business process engineering. – Data management experience (e.g., data profiling, data modelling, data engineering, data consumption product and services). – Hands-on experience with SQL or other approaches to query and analyze large data sets. – Ability to obtain clearance. – Strong communication skills. – Ability to effectively collaborate and manage the timely completion of assigned activities while working in a highly virtual team environment. – Hands-on experience supporting formal data profiling and data migration initiatives is a plus. – Familiarity of financial data and understanding of key accounting and financial functions is a plus. – Familiarity with large enterprise applications, including Enterprise Resource Planning (ERP) software systems is a plus. – Experience with financial data modeling, data migration, and/or data architecture development is a plus. – Experience with legacy financial management system modernization and associated data migration plan development is a plus.

Benefits include medical insurance, retirement plan, PTO, etc.

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