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Profiling Jobs (NOW HIRING)

Ability to Obtain Public Trust We are seeking a Data Profiling Specialist to support a state agency modernization effort focused on strengthening data quality, readiness, and reporting foundations.

Profiling/Flooring Machine Operator

Shippenville, PA · On-site

$14.75 - $17.50/hr

SUMMARY The primary purpose of the Machine Operator's position is to perform all assigned tasks, including but not limited to, the safe, efficient operation of all Flooring (Profiling) line equipment.

Profiling/Flooring Machine Operator

Shippenville, PA · On-site

$14.75 - $17.50/hr

SUMMARY The primary purpose of the Machine Operator's position is to perform all assigned tasks, including but not limited to, the safe, efficient operation of all Flooring (Profiling) line equipment.

Profiling/Flooring Machine Operator

Shippenville, PA · On-site

$14.75 - $17.50/hr

SUMMARY The primary purpose of the Machine Operator's position is to perform all assigned tasks, including but not limited to, the safe, efficient operation of all Flooring (Profiling) line equipment.

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Profiling information

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$48

$50

$51

How much do profiling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for profiling in the United States is $50.32, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $50.96 per hour, depending on experience, location, and employer.

What is profiling?

Profiling, in a professional context, typically refers to the process of gathering and analyzing information about individuals or groups to understand their behaviors, characteristics, or patterns. This can be used in fields such as law enforcement (criminal profiling), cybersecurity (user or threat profiling), and human resources (candidate profiling). Profilers use data, interviews, and behavioral analysis to make informed decisions or predictions. The goal is to improve efficiency, enhance security, or better match individuals to roles or tasks. The specific duties and techniques can vary widely depending on the industry.

What are the key skills and qualifications needed to thrive as a criminal profiler?

To thrive as a Criminal Profiler, you need a solid background in psychology or criminology, investigative experience, and often a relevant degree or law enforcement training. Familiarity with crime analysis software, databases, and behavioral assessment tools is typically required. Strong analytical thinking, communication, and the ability to interpret subtle behavioral cues are important soft skills in this field. These competencies are crucial for accurately assessing criminal behavior, aiding investigations, and contributing to public safety.

What are some common challenges faced by professionals working in criminal profiling, and how can they be addressed?

Professionals in criminal profiling often encounter challenges such as limited or ambiguous evidence, high-pressure situations, and the need to avoid cognitive biases. Dealing with incomplete or conflicting information requires strong analytical skills and collaboration with law enforcement teams. Regular training, peer consultation, and adherence to established profiling frameworks help mitigate these challenges, ensuring accurate and ethical assessments. Building resilience and strong communication skills is also crucial in this demanding field.

What is the difference between Profiling vs Data Analyst?

AspectProfilingData Analyst
Required CredentialsOften requires data analysis skills, basic statistics, and familiarity with data toolsRequires degrees in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentPrimarily focused on examining datasets to understand data quality and structureAnalyzes data to generate reports, insights, and support decision-making
Employer & Industry UsageUsed in data management, data warehousing, and database administrationCommon in finance, marketing, healthcare, and business intelligence
Search & Comparison IntentUnderstanding data quality, structure, and readinessExtracting insights, trends, and supporting strategic decisions

Profiling involves examining datasets to assess quality and structure, while a Data Analyst interprets data to provide insights. Both roles require analytical skills, but Profiling is more focused on data quality assessment, whereas Data Analysts focus on deriving actionable insights from data.

How can you become a profiling?

To become a profiler, typically one needs a background in psychology, criminal justice, or related fields, along with strong analytical and observational skills. Gaining experience through internships or entry-level roles in law enforcement, security, or investigative agencies can be beneficial, and certifications in criminal profiling or behavioral analysis may enhance prospects.

Is being a profiling a real job?

Yes, profiling is a real job that involves analyzing data, behaviors, or patterns to support investigations, security, or marketing efforts. Professionals in this field often use tools like data analysis software and require skills in critical thinking and research. It is commonly found in law enforcement, cybersecurity, and corporate security environments.
More about Profiling jobs

What cities are hiring for Profiling jobs?

Cities with the most Profiling job openings:

What states have the most Profiling jobs?

States with the most job openings for Profiling jobs include:

Infographic showing various Profiling job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,660 per year, or $50.3 per hour.

Data Analyst with Data Profiling

PamTen Inc

Sunnyvale, CA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
PamTen Inc is seeking a Data Analyst with Data Profiling to support business capabilities through effective data management and analysis. The role involves documenting reporting requirements, performing data profiling, and ensuring data quality while collaborating with stakeholders.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Company:
PAMTEN is established in the year 2007 as a technology services company, and a Women Owned Business Enterprise registered in New Jersey. Founded in 2007, the company is headquartered in Princeton, USA, with a team of 51-200 employees. The company is currently Growth Stage.