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Edi Analyst Remote Jobs in Austin, TX (NOW HIRING)

Abrigo

Data Analyst

Austin, TX · On-site +1

This is an exciting opportunity for someone wishing to grow their analytical and technical ability in the FinTech space. In this role, you will harness your technical expertise to support clients in ...

Abrigo

Data Analyst

Austin, TX · On-site +1

This is an exciting opportunity for someone wishing to grow their analytical and technical ability in the FinTech space. In this role, you will harness your technical expertise to support clients in ...

Sageworks

Data Analyst

Austin, TX · On-site +1

This is an exciting opportunity for someone wishing to grow their analytical and technical ability in the FinTech space. In this role, you will harness your technical expertise to support clients in ...

LV Collective

Business Systems Analyst

Austin, TX · Remote

About the Role As our Business Systems Analyst, you'll be the connective tissue between our people, our platforms, and our data. Your first big project: building out our ticketing platform workflows ...

Meta

Energy Analyst, Data Center Portfolio

Austin, TX · On-site +1

$132K/yr

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

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Edi Analyst Remote information

See Austin, TX salary details

$30.7K

$72.6K

$128.8K

How much do edi analyst remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for edi analyst remote in Austin, TX is $72,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

What does a remote EDI analyst do?

As a remote EDI analyst, your job is to analyze, support, and maintain an electronic data interchange system. In this work from home role, you may research methods of improving the network, test proposed solutions, and fully implement them into the network once they are verified to work. Remote EDI analysts often meet with decision makers, system owners, and end users to help define goals, participate in design sessions to prototype new systems, establish the scope and parameters of system analysis to define outcome criteria, and conduct research on products to support recommendations and purchasing efforts. Since this is a work from home job, you may use virtual office and conferencing software to keep in touch with other employees.

What are the key skills and qualifications needed to thrive as a remote EDI analyst?

To thrive as an EDI Analyst (Remote), you need a solid understanding of Electronic Data Interchange (EDI) standards, data mapping, and business processes, often supported by a degree in information systems or a related field. Familiarity with EDI tools (like Sterling Integrator or Gentran), ERP systems, and knowledge of common transaction sets is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you coordinate with internal teams and external partners. These competencies ensure accurate, efficient data exchange and minimize disruptions in business operations.

What are some common challenges faced by remote EDI analysts, and how can they effectively address them?

Remote EDI Analysts often encounter challenges such as troubleshooting data transmission issues, coordinating across time zones with trading partners, and ensuring secure data exchange. Effective communication with both internal teams and external partners is crucial, as is staying organized to manage multiple projects simultaneously. Leveraging collaboration tools, setting clear expectations, and maintaining detailed documentation can help remote EDI Analysts overcome these challenges and ensure smooth EDI operations.

What is the difference between Edi Analyst Remote vs Edi Specialist Remote?

AspectEdi Analyst RemoteEdi Specialist Remote
CredentialsTypically requires a degree in IT, healthcare, or related field; certifications like EDI Certification or HL7 are commonSimilar credentials; often holds certifications in EDI systems or healthcare data standards
Work EnvironmentRemote, often in healthcare or IT companies managing electronic data interchange systemsRemote, primarily in healthcare organizations or third-party EDI service providers
Employer & IndustryHealthcare, logistics, retail; used by companies managing electronic transactionsHealthcare, supply chain; focused on processing and troubleshooting EDI transactions

The main difference is that Edi Analysts typically focus on analyzing and maintaining EDI systems, while Edi Specialists often handle the operational aspects of EDI transactions. Both roles require similar credentials and work environments, but their specific responsibilities differ slightly within the EDI ecosystem.

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Edi Analyst Remote jobs near you
Infographic showing various Edi Analyst Remote job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $71,439 per year, or $34.3 per hour.

Business Analyst 1733R

Sistema Technologies, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

Austin, TX
Business Analyst - Solicitation# 529701733R
Texas Health and Human Services Commission (HHSC)
Overview
The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
  • Strategic Liaison and Translation
    • Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
    • Automate regular collection and updates to agency metadata for high value data assets.
    • Explain technical findings and data limitations in simple, non-technical language to end-users.
  • Data Reporting and Visualization
    • Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
    • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
    • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
    • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Data Literacy and Training
    • Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
    • Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
    • Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
  • Collaboration and Problem-Solving
    • Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies.
    • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
    • Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
  • AI Prompting and Data Synthesis
    • Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
    • Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
    • Develop a library of standardized prompts and query templates for common reporting needs.
Position will be remote. Program will allow candidates who are within the state (Any location within the State of Texas).
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 8 Required Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics 8 Required Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. 8 Required Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role. 8 Required Strong experience with SQL for data extraction, manipulation and enrichment. 8 Required Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis. 8 Required Excellent communication, presentation, and interpersonal skills. 5 Preferred Experience with Business Intelligence/Data Warehouse 5 Preferred Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects 5 Preferred Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements. 5 Preferred Experience with data governance and data quality principles 5 Preferred Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance. 2 Preferred Experience championing data literacy across the organization 2 Preferred Experience training and mentoring staff with varying levels of data literacy. 1 Preferred Experience with AI prompt development
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