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Data Cleaner Jobs in Florida (NOW HIRING)

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Data Collection Management Acquire data from primary or secondary sources and maintain databases Data Cleaning Clean and sanitize data by filtering reviewing reports and correcting code problems ...

Robert Half

Data Analyst

Tallahassee, FL · On-site

$20 - $28/hr

Clean, transform, and organize large datasets to ensure data accuracy and integrity * Develop reports, dashboards, and visualizations to support business needs * Translate business requirements into ...

Turn5, Inc.

Data Analyst

Titusville, FL

Consistently and reliably work with the IT department to maintain databases and keep data clean. * Become a liaison between product management requests and the IT department, making sure all ...

ManTech

Data Analyst

Fort Walton Beach, FL

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

UAB

CLINICAL DATA ANALYST

Tampa, FL

$43K - $50K/yr

Assigns interviewers for data collection, monitors completion of data, handles quality assurance and performs data cleaning. May assist in preparation of figures and tables for scientific manuscripts.

ManTech International

Data Analyst

Tampa, FL · On-site

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

CFS

Data Entry Specialist

Sanford, FL

$18 - $20/hr

Strong Excel skills, including VLOOKUPs, XLOOKUPs, and data cleaning techniques * Accurate typing skills (50+ WPM) with strong attention to detail What You'll Gain as a Data Entry Specialist

Kforce Technology Staffing

Data Engineer

Juno Beach, FL

$111K - $134K/yr

Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data ...

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How much do data cleaner jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data cleaner in Florida is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $10.34 and $19.91 per hour, depending on experience, location, and employer.

What are Data Cleaners?

Data Cleaners are professionals who specialize in identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the information is accurate, complete, and ready for analysis. Their work involves tasks such as removing duplicate records, filling in missing values, standardizing formats, and validating data against predefined rules. Data Cleaners play a crucial role in maintaining data quality, which is essential for reliable data analysis and decision-making in organizations.

What are some typical challenges faced by Data Cleaners when working with large datasets, and how can they be addressed?

Data Cleaners often encounter challenges such as inconsistent data formats, missing values, and duplicate records, especially when handling large datasets from multiple sources. Addressing these issues requires a solid understanding of data validation techniques and the use of specialized tools or programming languages like Python or SQL. Collaboration with data analysts or database administrators is also essential to clarify data requirements and resolve complex discrepancies, ensuring the cleaned data meets the organization's standards for analysis and reporting.

What are the key skills and qualifications needed to thrive as a Data Cleaner, and why are they important?

To excel as a Data Cleaner, you need a solid understanding of data management principles, attention to detail, and proficiency in data analysis, often supported by a degree in a quantitative field. Familiarity with data cleaning tools such as Microsoft Excel, Python (Pandas), SQL, and sometimes specialized ETL software is typically required. Strong problem-solving skills, patience, and the ability to communicate data issues clearly set outstanding Data Cleaners apart. These skills ensure that data is accurate, consistent, and reliable, which is crucial for effective analysis and business decision-making.

What is the difference between Data Cleaner vs Data Analyst?

AspectData CleanerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData processing centers, offices, remoteOffices, remote, or client sites
Industry UsageData management, IT, business servicesBusiness intelligence, finance, marketing, healthcare
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, interpretative roles

Data Cleaners focus on preparing raw data by removing errors and inconsistencies, ensuring data quality. Data Analysts interpret cleaned data to generate insights and support decision-making. While both roles work with data, Data Cleaners handle data preparation, whereas Data Analysts analyze data to provide strategic recommendations.

What are popular job titles related to Data Cleaner jobs in Florida? For Data Cleaner jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Cleaner jobs in Florida look for? The top searched job categories for Data Cleaner jobs in Florida are:
What cities in Florida are hiring for Data Cleaner jobs? Cities in Florida with the most Data Cleaner job openings:
Data Cleaner jobs near you
Data Analyst (Data Quality)

Data Analyst (Data Quality)

Navy Federal Credit Union

Pensacola, FL • On-site

Full-time

Posted 3 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Navy Federal Credit Union is a leading financial institution committed to providing meaningful career experiences. The Data Analyst (Data Quality) will partner with business stakeholders to understand data needs, perform data collection and analysis, and ensure data quality compliance to support organizational objectives.
Responsibilities:
• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with senior staff to communicate findings and insight to stakeholders
• Collaborate with team members and participate in team projects and initiatives
• Provide data research and write data queries for smaller analytics projects
Qualifications:
Required:
• 2-5 years of experience in data analysis and reporting
• Basic understanding of business and operating environment
• Strong understanding of advanced data cleaning and preprocessing techniques and tools
• Effective skill with analytical techniques required for data usage and data cleaning
• Skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)
• Knowledge of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Company:
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained Founded in 1933, the company is headquartered in Vienna, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Navy Federal Credit Union employees say

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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