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Data Validation Jobs (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Data Engineer Data Quality & Validation

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer - Data Quality & Validation Location: Dallas, TX (Hybrid - 3 Days Onsite) Job Type: Long-Term Contract Employment Type: W2 Only Interview Process: In-Person Client Interview (Mandatory ...

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Data Validation information

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How much do data validation jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Validation position, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications like CAP or Microsoft Certified Data Analyst. Overall, it is considered a well-paying role within the data and analytics field.

What is a data validator job?

A data validator job involves reviewing and checking data for accuracy, completeness, and consistency to ensure it meets quality standards. This role often requires attention to detail, familiarity with data management tools, and understanding of data validation techniques. Data validators help organizations maintain reliable data for decision-making and reporting.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but entry-level positions may be available for candidates with little or no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant certifications or completing online courses can improve your chances of starting in this field. Practical experience through internships or projects can also be beneficial for entry-level applicants.

What is a Data Validation job?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What are the typical daily responsibilities of someone working in Data Validation?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility of data validation specialists, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. They use tools like spreadsheets or validation software and often work with databases to identify and correct errors, supporting data integrity for decision-making. Attention to detail and knowledge of data quality principles are essential in this role.
More about Data Validation jobs
What cities are hiring for Data Validation jobs? Cities with the most Data Validation job openings:
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What states have the most Data Validation jobs? States with the most job openings for Data Validation jobs include:
Data Validation Risk - Director

Data Validation Risk - Director

Pwc

Atlanta, GA

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

Job Description & Summary

The Opportunity
As a Data Validation Risk Director, you will lead efforts within our Risk & Regulatory practice to leverage data and analytics for driving insights and informed business decisions. You will utilize advanced analytical techniques to help clients optimize their operations and achieve strategic goals. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will translate the vision, set the tone, and inspire others to follow, driving business growth and shaping client engagements.
In this role at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will create a healthy working environment while maximizing client satisfaction, cultivating potential in others, and actively teaming across the PwC Network to leverage collective strength.
Responsibilities
- Leading data validation and risk management initiatives to support client engagements
- Utilizing advanced analytics techniques to extract insights from complex datasets
- Driving the development and implementation of data-driven strategies to optimize client operations
- Overseeing the integration and manipulation of data using tools like Alteryx and Python
- Guiding teams in the creation of dashboards and visualizations using Power BI and Tableau
- Promoting the use of predictive analytics and statistical modeling to solve business challenges
- Confirming data integrity and security within analytics frameworks
- Mentoring and developing the next generation of leaders in data analysis
- Collaborating with stakeholders to identify and address data quality improvement opportunities
- Cultivating relationships with clients to enhance satisfaction and drive business growth
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance, Management Information Systems
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), predictive modeling/ML (Python, SAS), Certified Public Accountant (CPA) or Certified Information Systems Auditor (CISA)
- Demonstrating proficiency in complex data analysis and data validation via Alteryx
- Utilizing advanced skills in data visualization tools like Tableau
- Leading strategic initiatives in data-driven decision-making environments
- Cultivating executive-level client relationships and driving business growth
- Promoting technological advances to enhance data integrity and security

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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