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Workday Data Conversion Jobs in Florida (NOW HIRING)

iTech US, Inc.

Workday Financial Analyst

Tampa, FL · On-site

Drive data conversion and validation activities, including open balances etc. Collaborate with integration teams to ensure seamless connectivity between Workday and external systems ( Azure ...

Ametek

Manager IT, SAP Technical

Lake Mary, FL · On-site

$145K - $175K/yr

... Workday, etc.). * Drives SAP programs/projects/migrations/upgrades. * Data Analysis and Assessment ... Data Conversion. * Testing and Validation. * Change Management. * Drives global technical design ...

Ametek

Manager IT, SAP Technical

Lake Mary, FL · Hybrid

$145K - $175K/yr

... Workday, etc.). * Drives SAP programs/projects/migrations/upgrades. * Data Analysis and Assessment ... Data Conversion. * Testing and Validation. * Change Management. * Drives global technical design ...

Moss

Campus Recruiter

Fort Lauderdale, FL · On-site

Maintain real-time visibility into pipeline health, conversion data, and offer outcomes, sharing ... Workday highly preferred * Data-oriented with the ability to track and communicate pipeline metrics ...

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Workday Data Conversion information

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$8

$35

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How much do workday data conversion jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for workday data conversion in Florida is $35.01, according to ZipRecruiter salary data. Most workers in this role earn between $18.77 and $48.64 per hour, depending on experience, location, and employer.

What is a Workday Data Conversion?

A Workday Data Conversion job involves extracting, transforming, and loading (ETL) data from legacy systems into Workday. Professionals in this role ensure data accuracy, perform testing, and troubleshoot issues to support a smooth transition. They work with stakeholders to map data fields, create conversion scripts, and validate results. Strong expertise in Workday's data structures, integration tools, and SQL is essential.

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

To excel in a Workday Data Conversion role, you should have a strong foundation in data analysis, data mapping, and database management, typically backed by experience with Workday implementations and data migration projects. Familiarity with ETL tools, Workday Studio, and relevant certifications such as Workday Pro in Integrations or HCM are highly valued. Attention to detail, problem-solving ability, and effective communication are important soft skills that enhance project outcomes and team collaboration. These skills enable the accurate and efficient migration of critical HR or financial data, ensuring seamless system transitions for organizations.

What are some common challenges faced in a Workday Data Conversion role?

Professionals in Workday Data Conversion often encounter challenges such as ensuring data integrity during migration, managing complex data mapping between legacy and Workday systems, and troubleshooting unexpected errors that may arise. Coordinating with cross-functional teams—including HR, IT, and third-party consultants—requires clear communication and strong organizational skills. Daily tasks typically involve extracting, transforming, validating, and loading large data sets, as well as preparing thorough documentation. Overcoming these challenges effectively is crucial to delivering a seamless and accurate Workday implementation for your organization.

What are the most commonly searched types of Workday Data Conversion jobs in Florida?

The most popular types of Workday Data Conversion jobs in Florida are:

What are popular job titles related to Workday Data Conversion jobs in Florida?

For Workday Data Conversion jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Workday Data Conversion jobs in Florida look for?

The top searched job categories for Workday Data Conversion jobs in Florida are:

Workday Data Conversion jobs near you
Infographic showing various Workday Data Conversion job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,816 per year, or $35 per hour.

Workday Finance Consultant-PeopleSoft to Workday Implementation Expert

Winaxis

Tampa, FL • On-site

Contractor

Re-posted 22 days ago

Job description

Job Summary (List Format)
- Serve as a Workday Finance Consultant specializing in PeopleSoft to Workday implementation projects for large financial firms or global enterprises.
- Lead and manage end-to-end PeopleSoft to Workday migration projects, focusing on successful implementation and ensuring data integrity.
- Design, execute, and optimize large-scale data migration strategies, including extraction, transformation, loading (ETL), validation, and reconciliation.
- Collaborate with stakeholders to understand business processes and translate requirements into Workday configurations.
- Identify and resolve complex data-related issues, maintaining data accuracy, consistency, and completeness throughout the migration process.
- Work closely with cross-functional teams (HR, Finance, IT, external partners) to deliver high-quality project outcomes.
- Conduct fit-gap analysis between legacy (PeopleSoft) and Workday systems, driving necessary implementation adjustments.
- Provide guidance and best practices for Workday HCM, Core HR, and data architecture in enterprise-scale environments.
- Utilize strong knowledge in Workday data models, EIB, Core Connectors, and Workday Studio for effective migration.
- Apply expertise in handling high-volume data migrations (10M+ records) and complex transformation rules.
- Ensure data quality through cleansing and conversion mapping techniques.
- Leverage Workday Reporting, calculated fields, and security configuration knowledge.
- Communicate effectively and apply strong problem-solving and project management skills.
Preferred/Additional Qualifications:
- Workday certification in Finance or related modules.
- Experience in financial services, banking, or other data-intensive industries.
- Familiarity with ETL tools such as Alteryx, Informatica, or similar platforms.