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Data Conversion Analyst Jobs (NOW HIRING)

Hexagon AB

Data Conversion Specialist

Madison, AL · On-site

Data Analysis & Mapping • Analyze legacy system data structures and map them to target system schemas. • Create and maintain detailed mapping documentation for all conversion processes. • ...

Navtech, Inc.

Workday Data Conversion Lead

Yonkers, NY · On-site

Excellent problem-solving skills, with the ability to analyze complex data conversion issues and recommend effective solutions. * Strong communication and interpersonal skills, with the ability to ...

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Data Conversion Analyst information

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How much do data conversion analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data conversion analyst in the United States is $58.39, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $72.60 per hour, depending on experience, location, and employer.

What is a data conversion analyst?

A Data Conversion Analyst is a professional responsible for transferring, transforming, and validating data when organizations move data between systems, databases, or formats. They analyze source and target data structures, create mapping documents, and ensure data integrity throughout the conversion process. Data Conversion Analysts also identify data quality issues, resolve inconsistencies, and may develop scripts or use specialized tools to automate data migration tasks. Their work is crucial during system upgrades, mergers, or implementation of new software to ensure business continuity and accuracy.

What does a data conversion analyst do?

A data conversion analyst is a job in the computer science industry with a focus on database management systems. Your responsibilities in this career revolve around working with clients to convert data between different formats. Sometimes this conversion is to make the data compatible with a different system. Other times, it may be to make the information more accessible and user-friendly. Regardless, your duties as a data conversion analyst are to determine the specifications needed to transfer data from one format to another, test the conversion process to ensure that data is corruption-free, and provide resolutions to any errors or issues that may occur. You may also create a process for converting data and then train another employee to complete the process en masse.

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

To thrive as a Data Conversion Analyst, you need strong analytical skills, attention to detail, and a background in data management or computer science, often supported by a relevant degree. Familiarity with ETL tools, SQL, data mapping software, and sometimes certifications in data analytics or specific platforms are typically expected. Excellent problem-solving, communication, and project management skills help you collaborate with teams and address data migration challenges. These skills are vital to ensure accurate, efficient data transfers and minimize errors during system implementations or upgrades.

What are the typical challenges faced during large-scale data migration projects as a data conversion analyst?

Data Conversion Analysts often encounter challenges such as ensuring data integrity, dealing with legacy systems, and mapping data accurately between different platforms. It is common to handle incomplete or inconsistent data, which requires strong problem-solving skills and attention to detail. Collaboration with IT, business stakeholders, and end-users is essential to clarify requirements and validate converted data. Effective communication and thorough testing are key to minimizing disruptions during the migration process.
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Data Conversion Analyst jobs near you
Infographic showing various Data Conversion Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,445 per year, or $58.4 per hour.

Data Conversion Specialist

Baton Rouge, LA • Remote

Software People, Inc.
IT Services • 1 - 10 employees
Learn more about Software People, Inc.external

Contractor

Re-posted 17 days ago

Job description

Phone/Skype Hire. Remote

Location: Remote

Duration: 12+ months

Responsibilities

  • Analyze and map data from the old system to the new one.
  • Develop and implement data conversion plans.
  • Design and execute data validation and testing processes.
  • Ensure data quality and integrity throughout the data conversion process.
  • Collaborate with LDWF stakeholders and OTS technical teams to define and prioritize data conversion requirements.
  • Provide technical knowledge transfer, training, and documentation to OTS and LDWF Agency staff for all requested work.
  • Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies.
  • Cooperation with LDWF’s Technical Architect and other OTS technical teams to ensure compliance with OTS standards of State applications.
  • Perform all other tasks, special projects, analysis, studies, and plans as directed.

Skills Needed

  • Five (5) plus years advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types.
  • Two (2) plus years ETL experience using enterprise tools (Informatica, SSIS) or scripting languages (Python, PowerShell) to move data from Point A to Point B.
  • Four (4) plus years experience working on data migration or data integration projects with specific experience in Data Profiling, Schema Mapping, Data Normalization, and Error Handling
  • Experience with creating documentation such as data mapping documents and data dictionaries
  • Experience working on a development team.
  • Experience with client engagements on design, delivery, deployment and on-going maintenance.
  • Previous experience working in an Agile/Scrum environment.