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Data Integration Analyst Jobs (NOW HIRING)

Procentrix

Integration Analyst

Washington, DC · On-site

$110K - $130K/yr

The Integration Analyst will work with business stakeholders, application teams, data teams, and external partners to understand system interactions, data exchange requirements, and operational ...

Procentrix

Integration Analyst

Washington, DC · On-site

$110K - $130K/yr

The Integration Analyst will work with business stakeholders, application teams, data teams, and external partners to understand system interactions, data exchange requirements, and operational ...

Sunrise Systems, Inc.

Data Analyst III

Windsor, CT · On-site

WINDSOR, CT Duration: 06 months on W2 contract We are looking for a motivated Junior to Mid-Level Data & Integration Analyst to support data integration, reporting, and troubleshooting efforts. This ...

Trelleborg

Integration Analyst

Tustin, CA · Hybrid

Summary of the role In the role of Integration Analyst, you will deliver secure, scalable, and reliable data flows that support our global operations. You will help architect and implement ...

H1

Principal Analyst, Data Integration

WHAT YOU'LL DO AT H1 As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. This is a senior IC role ...

Nastech Global

Integration Analyst

Irvine, CA · On-site

Experience with Financial Services Cloud (FSC) and its specific data model for lending. Roles & Responsibilities The Auto Lending Integration Analyst will act as the key liaison between the auto ...

Ontech Talent

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Partner with business and IT leaders to deliver analytics, integration, and automation value. Job ... Data Modeling & Warehousing * Pipeline Design & Reliability * Cloud Data Platforms * Streaming

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Data Integration Analyst information

See salary details

$21K

$88.3K

$166.5K

How much do data integration analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data integration analyst in the United States is $88,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $111,500.00 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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Data Integration Analyst jobs near you
Infographic showing various Data Integration 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 $88,250 per year, or $42.4 per hour.

Lead Business Intelligence & Data Integration Analyst

Remote

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Lead Business Intelligence & Data Integration Analyst
Location: Remote (EST Time Zone)
Job Type: Contract to Hire (6 Months)
Experience: 10+ years
Job Overview
Key Responsibilities
  • Design and maintain data models, semantic models, dataflows, and curated datasets for enterprise reporting
  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and transformation logic
  • Support ETL processes, pipeline monitoring, and production issue resolution
  • Assist with Microsoft Fabric and Power BI modernization, including legacy migration efforts
  • Support MDM and Syniti-related data initiatives including validation, mapping, and governance
  • Guide BI developers and analysts on data structures, joins, business logic, and reporting best practices
  • Support UAT, documentation, end-user support, and post-deployment enhancements
Required Skills
  • Strong SQL Server experience including complex query development and performance optimization
  • Experience with ETL processes, dataflows, data marts, cubes, or data warehouse environments
  • Enterprise reporting dataset and semantic model design
  • Strong analytical, troubleshooting, and stakeholder management skills
  • Ability to work independently and manage multiple priorities
Preferred Skills
  • Microsoft Fabric, Power BI, Azure, or modern cloud-based analytics platforms
  • Salesforce, CRM Analytics, Life Science Cloud, or CRM/ERP integration experience
  • MDM platforms including Syniti or similar tools
  • Informatica, Azure Data Factory, SSIS, or similar ETL technologies
  • SQL Server tuning, Control-M, or production reporting support
  • Experience mentoring BI developers and leading cross-functional teams
Location & Work Model
Fully remote - candidates must be available during EST business hours.
Engagement Details

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