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Data Validation Jobs in Alabama (NOW HIRING)

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Write complex queries to validate data accuracy, perform transformations, and generate reports. (SSIS - ETL\ELT) * Python & Other Languages: Python is widely used for automation, data validation, and ...

Data Validation & Quality Assurance • Perform rigorous data validation to confirm accuracy and completeness of converted data. • Identify and resolve discrepancies between source and target ...

CLINICAL DATA ANALYST

Birmingham, AL · On-site

$43K - $50K/yr

Data validation from redcap registry of ongoing study. * Data analysis from large data sets for abstracts and manuscripts. * Translate data into graphical representations. * Manage Microsoft Access ...

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Design and implement robust data validation processes, data quality checks, and error handling procedures to guarantee the accuracy, completeness, and reliability of datasets. * Ensure Consistency:

Data Engineer Associate

Huntsville, AL · On-site

$115K - $138K/yr

... validation, data quality checks, and troubleshooting efforts to ensure data is accurate, reliable, and usable Collaborate with software engineers, systems engineers, AI/ML engineers, and program ...

Data Engineer Associate

Huntsville, AL · On-site

$115K - $138K/yr

... validation, data quality checks, and troubleshooting efforts to ensure data is accurate, reliable, and usable • Collaborate with software engineers, systems engineers, AI/ML engineers, and program ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems * Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing ...

Support data validation, quality assurance, and reporting accuracy efforts. * Create and maintain data documentation, data dictionaries, and analytical procedures. * Utilize GitLab for version ...

Support data validation, quality assurance, and reporting accuracy efforts. * Create and maintain data documentation, data dictionaries, and analytical procedures. * Utilize GitLab for version ...

Support data validation, quality assurance, and reporting accuracy efforts. * Create and maintain data documentation, data dictionaries, and analytical procedures. * Utilize GitLab for version ...

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Data Validation information

See Alabama salary details

$20

$47

$70

How much do data validation jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data validation in Alabama is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $35.72 and $57.31 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.

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.

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 18 days ago


Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation