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Data Integration Analyst Jobs in Dallas, TX (NOW HIRING)

Lawrence Harvey

Manufacturing Data Architect

Dallas, TX · On-site

$180K - $220K/yr

... teams to integrate analytics into manufacturing intelligence and control strategies Key skills & experience: * Demonstrable experience (5+ years) in a Industrial Analytics/Data Engineering role ...

Jobs via Dice

SAP Data Analyst

Richardson, TX · On-site +1

$60 - $68/hr

SAP Data Analyst We are seeking an experienced SAP Data Specialist to join our dynamic team. The ... Data Migration and Integration: Support data migration efforts within SAP by ensuring clean and ...

Flowserve

Data Engineer Denodo

Irving, TX · Remote

$109K - $132K/yr

Develop and optimize data-integration and data-virtualization solutions for analytics, reporting, operational, and AI use cases. * Integrate Denodo with enterprise applications, databases, APIs ...

Jobs via Dice

SAP Data Analyst

Richardson, TX · On-site +1

$60 - $68/hr

SAP Data Analyst We are seeking an experienced SAP Data Specialist to join our dynamic team. The ... Data Migration and Integration: Support data migration efforts within SAP by ensuring clean and ...

Flowserve

Data Engineer Denodo

Irving, TX · On-site

$109K - $132K/yr

Develop and optimize data-integration and data-virtualization solutions for analytics, reporting, operational, and AI use cases. * Integrate Denodo with enterprise applications, databases, APIs ...

Intellyk Inc.

Sr. Java Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... a variety of integration and information delivery methods as well as data modelling techniques and analytics • Knowledge and experience with various relational databases and demonstrable ...

PROLIM Global Corporation

Data Modeller

Plano, TX · On-site

The ideal candidate will be responsible for analyzing business requirements, designing scalable data models, performing data profiling and integration, and supporting both OLTP and OLAP systems. Key ...

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Showing results 41-60

All JobsData Integration Analyst JobsData Integration Analyst Jobs in Dallas, TX

Data Integration Analyst information

See Dallas, TX salary details

$20.8K

$87.3K

$164.7K

How much do data integration analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data integration analyst in Dallas, TX is $87,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $110,300.00 per year, depending on experience, location, and employer.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

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

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

What is the difference between Data Integration Analyst vs Data Engineer?

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

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What job categories do people searching Data Integration Analyst jobs in Dallas, TX look for?

The top searched job categories for Data Integration Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Integration Analyst jobs?

Cities near Dallas, TX with the most Data Integration Analyst job openings:

Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,300 per year, or $42 per hour.

Technical Product Owner - Quality & Integration Analysis

Expert Technical Solutions

Irving, TX • On-site

Contractor

Re-posted 11 days ago

Job description

Technical Product Owner – Quality & Integration Analysis
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (4–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is seeking a Technical Product Owner focused on quality assurance, integration analysis, and production troubleshooting within a complex enterprise application environment. This role serves as a critical link between business operations, product teams, engineering teams, and external system integrations to ensure applications function as intended and business processes are accurately supported.
The ideal candidate combines technical product ownership, business systems analysis, and advanced testing capabilities. This individual must be comfortable analyzing system behavior, creating and executing test scenarios, validating API interactions, reviewing JSON payloads, investigating defects, and documenting findings that can be translated into actionable engineering work.
While experience with Oracle E-Business Suite is highly desirable, this role is not focused on developing new application customizations. Instead, the successful candidate will help validate functionality, troubleshoot issues, analyze integrations, and ensure enterprise systems operate reliably across complex transaction flows.
Key Technologies
  • Oracle EBS
  • REST APIs
  • JSON
  • Swagger / OpenAPI
  • SQL
  • PL/SQL (Read & Interpret)
  • Azure
  • Integration Platforms
  • Warehouse Management Systems (WMS)
  • Agile / Scrum
Primary Responsibilities
  • Partner with product, business, and engineering teams to validate system functionality and support ongoing platform enhancements.
  • Analyze application behavior across enterprise systems and integrations to identify issues, inconsistencies, and improvement opportunities.
  • Create, execute, and document test scenarios for new features, enhancements, and defect remediation efforts.
  • Develop and manage test data required to validate business workflows and transaction processing.
  • Investigate production issues through analysis of application data, API transactions, system workflows, and integration behavior.
  • Review and interpret JSON payloads exchanged between enterprise applications and integrated systems.
  • Analyze API request and response structures using Swagger/OpenAPI documentation.
  • Support root cause analysis efforts by tracing transactions across multiple systems and identifying breakdown points within business processes.
  • Execute SQL queries to validate data, troubleshoot issues, and verify expected outcomes.
  • Translate technical findings into user stories, defect tickets, enhancement requests, and supporting documentation.
  • Collaborate with engineering teams to validate solutions and confirm issue resolution.
  • Document findings, recommendations, and test results in a clear and organized manner.
Quality Assurance & Testing Responsibilities
  • Design and execute functional, integration, and regression testing activities.
  • Validate data accuracy across integrated applications and transaction workflows.
  • Verify API integrations are functioning according to business and technical requirements.
  • Build and maintain reusable test scenarios and test data sets.
  • Confirm fixes and enhancements perform as expected prior to deployment.
  • Support user acceptance testing and production validation activities.
Required Qualifications
  • 5+ years of experience in one or more of the following:
    • Technical Product Owner
    • Business Systems Analyst
    • Technical QA Analyst
    • Systems Analyst
    • Integration Analyst
  • Experience supporting enterprise applications and integration-heavy environments.
  • Strong understanding of REST APIs and system integrations.
  • Ability to read and interpret JSON payloads.
  • Experience working with Swagger/OpenAPI documentation.
  • Working SQL knowledge with the ability to validate data and troubleshoot application behavior.
  • Experience creating and executing test cases, test plans, and validation scenarios.
  • Strong analytical and root cause analysis skills.
  • Ability to document findings clearly and communicate effectively with technical and non-technical audiences.
Preferred Qualifications
  • Experience working with Oracle E-Business Suite (EBS).
  • Ability to read and interpret PL/SQL code, stored procedures, packages, or Oracle application logic.
  • Experience supporting Warehouse Management Systems (WMS), supply chain, fulfillment, logistics, or reverse logistics environments.
  • Experience validating integrations between enterprise applications and external partner systems.
  • Familiarity with Azure-based applications and cloud integration platforms.
  • Experience supporting high-volume transaction processing environments.
What Success Looks Like
  • Improve software quality through effective testing and validation processes.
  • Identify and resolve issues before they impact production users.
  • Provide actionable root cause analysis that accelerates issue resolution.
  • Improve communication between product, business, and engineering teams.
  • Become a trusted technical resource for application behavior, integration workflows, and system validation efforts.