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Data Processor Jobs in Lake Worth, FL (NOW HIRING)

Mortgage Processor II

Boynton Beach, FL · On-site

$37K - $51K/yr

Processing a loan can be like guiding a traveler on a long safari. Customers can easily feel lost in the complexities, except for those lucky enough to have someone with your exceptional skill to get ...

... process improvements and controls around data updates, permissions, and governance. SQL / Database / PostgreSQL / Queries / Agile / Documentation Professional Experience • Strong SQL experience ...

DATA ENTRY

Pompano Beach, FL

$16 - $21.50/hr

Elite Corporate Solutions is seeking a detail-oriented Data Entry / Order Processing professional to support daily operations within a fast-paced manufacturing environment. This opportunity will ...

Senior Data Analyst

Boca Raton, FL · On-site

$79K - $100K/yr

Drive process improvement efforts that enhance data quality, operational efficiency, and the overall customer experience * Maintain key process documentation, provide quality review of team ...

New

Employees in this role are responsible for creating processes and implementing software to facilitate management of data including, but not limited to, data pipelines, data catalogs, data governance ...

Sr. Manager, Data, Finance Tech

Palm Beach Gardens, FL · On-site

$103K - $140K/yr

... Data Qualitylocatedin Raynham, MA, West Chester, Pennsylvania, and Raritan, NJ, United States ... The process of the planned separation is anticipated to be completed within 18 to 24 months ...

New

Data Entry

West Palm Beach, FL · On-site

$15 - $20/hr

Paid time off Job Summary We are seeking a Data Entry Clerk to join our team. In this role, you ... Our Process: Your application will be reviewed by our hiring team. If we identify that you will be ...

Showing results 41-60

Data Processor information

See Lake Worth, FL salary details

$10

$18

$30

How much do data processor jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data processor in Lake Worth, FL is $18.01, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.86 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What are popular job titles related to Data Processor jobs in Lake Worth, FL?

For Data Processor jobs in Lake Worth, FL, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Lake Worth, FL look for?

The top searched job categories for Data Processor jobs in Lake Worth, FL are:

What cities near Lake Worth, FL are hiring for Data Processor jobs?

Cities near Lake Worth, FL with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Lake Worth, FL as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $37,460 per year, or $18 per hour.

ENTERPRISE DATA ANALYST

Kanak Elite Services Inc

Juno Beach, FL • On-site

Contractor

Re-posted 23 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Enterprise Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Enterprise Data Analyst

Juno Beach, FL Onsite

Long term contract

2nd round will be onsite

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
    • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
    • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a Community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.