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Entry Level Data Validation Jobs (NOW HIRING)

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... data validation and identify data quality issues. · Analyze trends, patterns, and business ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Ensure data quality, accuracy, and integrity through validation and monitoring frameworks. Perform root cause analysis on performance and operational issues using data insights. Work with cross ...

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... validation, documentation, testing and continuous improvement activities throughout the project ...

Associate Data Analyst

Orlando, FL · On-site

$22 - $24/hr

... entry-level candidates are encouraged to apply. * Experience or coursework in financial services, retail banking, data analytics, controls testing, project management, data validation, grants ...

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... validation, documentation, testing and continuous improvement activities throughout the project ...

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Entry Level Data Validation information

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How much do entry level data validation jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level 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 is an entry level data validation?

Entry level data validation jobs involve checking and verifying data for accuracy, completeness, and consistency. People in these roles often review data entries, correct errors, and ensure that information meets established standards. They may use software tools and follow specific guidelines to validate large datasets before the information is used for business decisions or analysis. These positions typically require attention to detail, organizational skills, and basic computer proficiency. Entry level data validation jobs are a good starting point for individuals interested in data management or analytics careers.

What are the key skills and qualifications needed to thrive as an entry level data validation specialist?

To thrive as an Entry Level Data Validation specialist, you need strong attention to detail, basic data analysis abilities, and familiarity with data entry, often supported by a relevant associate’s or bachelor’s degree. Proficiency with spreadsheet software like Microsoft Excel, data management systems, and sometimes introductory knowledge of SQL or data validation tools is typically required. Strong organizational skills, effective communication, and a proactive attitude help individuals excel in this role. These skills ensure accuracy, data integrity, and efficient workflows, which are critical for supporting business operations and decision-making.

What are some common challenges faced by entry level data validation professionals, and how can they be overcome?

Entry-level data validation professionals often encounter challenges such as managing large volumes of data, identifying subtle inconsistencies, and adapting to new data management tools or software. It's common to feel overwhelmed at first, but developing strong attention to detail and asking clarifying questions can help. Leveraging team resources, participating in training sessions, and consistently documenting validation steps are effective strategies for overcoming these challenges. Collaboration with data analysts and IT staff also provides valuable support and learning opportunities.

What is the difference between Entry Level Data Validation vs Data Entry Clerk?

AspectEntry Level Data ValidationData Entry Clerk
Required CredentialsHigh school diploma or equivalent; basic understanding of data validation toolsHigh school diploma or equivalent; proficiency in data entry software
Work EnvironmentOffice settings, working with databases and validation toolsOffice or remote, entering data into systems
Employer & Industry UsageBusinesses, finance, healthcare, ITAdministrative, retail, healthcare, finance
Common Search & ComparisonOften compared for entry-level data roles involving validation tasksOften compared for basic data input roles

Entry Level Data Validation focuses on verifying and ensuring data accuracy using validation tools, while Data Entry Clerks primarily input data into systems. Both roles are entry-level, often require similar educational backgrounds, but differ in their core responsibilities and tools used.

What cities are hiring for Entry Level Data Validation jobs?

Cities with the most Entry Level Data Validation job openings:

What are the most commonly searched types of Data Validation jobs?

The most popular types of Data Validation jobs are:

Infographic showing various Entry Level Data Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Entry-Level Data Analyst

Chicago, IL • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees

Other

Posted 10 days ago


Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.