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Data Integration Analyst Jobs (NOW HIRING)

$70 - $95/hr

The Data Integration Analyst II is responsible for leading complex data file transformation efforts, advanced configuration design, and systemic issue resolution for both onboarding and production ...

Posted today

The Integration Analyst BPO simultaneously manages multiple clients and/or partner data ... Manage the data integration build and testing process between all internal and external parties

The Integration Analyst BPO simultaneously manages multiple clients and/or partner data ... Manage the data integration build and testing process between all internal and external parties

The Integration Analyst BPO simultaneously manages multiple clients and/or partner data ... Manage the data integration build and testing process between all internal and external parties

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Data Integration Analyst information

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$88.3K

$166.5K

How much do data integration analyst jobs pay per year?

As of Aug 21, 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.

What cities are hiring for Data Integration Analyst jobs?

Cities with the most Data Integration Analyst job openings:

What are the most commonly searched types of Data Integration Analyst jobs?

The most popular types of Data Integration Analyst jobs are:

Who are the top companies hiring for Data Integration Analyst jobs?

The top employers for Data Integration Analyst jobs are:

What states have the most Data Integration Analyst jobs?

States with the most job openings for Data Integration Analyst jobs include:

Infographic showing various Data Integration Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $88,250 per year, or $42.4 per hour.

Data Integration Analyst II (On-Site, IN)

Allied Solutions LLC

Carmel, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

186th of 311 rated insurance


Job description

The Data Integration Analyst II is responsible for leading complex data file transformation efforts, advanced configuration design, and systemic issue resolution for both onboarding and production support environments. This role provides technical guidance to Analyst I team members, supports escalation triage, and contributes to team-wide improvements in quality and process consistency. The position blends deep technical expertise with cross-functional collaboration to ensure reliable, accurate, and scalable client data integrations.
Job Duties and Responsibilities:
Advanced Transformation and Configuration Oversight - 35%
  • Lead the design and execution of transformation logic for complex and high-volume client data integrations.
  • Translate contractual requirements and business rules into executable data mapping specifications.
  • Optimize transformation parameters for accuracy, performance, and long-term maintainability.
  • Validate source-to-target logic against field-level expectations and downstream workflows.
  • Create and enforce configuration consistency across import profiles and lender setups.
  • Resolve complex field dependencies and cross-file transformation conditions.
  • Ensure mapping scalability for clients with dynamic structures or multi-branch delivery.
  • Serve as a point of contact for internal reviews of logic decisions and data transformation strategy.
  • Conduct detailed mapping audits to identify inconsistencies or potential configuration gaps.
  • Maintain transformation documentation that reflects current standards and applied logic.

Technical Escalation and Root Cause Analysis - 20%
  • Triage escalated technical issues involving ingestion failures, transformation mismatches, and system behavior gaps.
  • Lead multi-layer investigation efforts that cross system configuration, transformation, and compliance logic.
  • Partner with ETL developers and QA to analyze performance anomalies or transformation bugs.
  • Document root causes, contributing conditions, and recommended solutions for team reference.
  • Communicate findings and fixes with affected stakeholders and ensure downstream alignment.
  • Identify patterns in escalated issues and propose structural improvements to reduce recurrence.
  • Review logs, system behavior, and transformation rules for high-impact data discrepancies.
  • Coordinate escalation resolution across Implementation, QA, Development, and Support teams.
  • Lead retrospectives on recurring support themes to surface proactive fixes.
  • Track escalation frequency and response metrics to recommend prioritization of fixes.

Client Requirements and Stakeholder Alignment - 20%
  • Lead conversations with clients to confirm technical expectations, logic plans, and configuration assumptions.
  • Gather input from internal stakeholders and translate into aligned data requirements and execution steps.
  • Review service agreements and ensure logic reflects contract-specific language and compliance terms.
  • Manage documentation of exceptions, overrides, and client-specific logic into intake records and configs.
  • Serve as the primary analyst interface for client data validation and business logic clarification.
  • Ensure stakeholders are aware of key constraints or special conditions that affect configuration design.
  • Maintain alignment with Coordinators, Implementation Managers, and QA to ensure clarity on technical deliverables.
  • Confirm configuration intent with Production Support and Data Operations for long-term viability.
  • Participate in approval cycles for requirements and mapping validation.
  • Escalate misaligned business expectations early in the implementation process.

Documentation and Standards Leadership - 15%
  • Own creation of reusable documentation templates and technical reference guides.
  • Maintain configuration records that track field mappings, overrides, and transformation rules.
  • Create troubleshooting and root cause analysis templates for issue documentation.
  • Drive improvements in the clarity, accuracy, and completeness of internal documentation.
  • Participate in peer review cycles for logic documentation and mapping alignment.
  • Create team-facing material on complex configuration use cases and system limitations.
  • Ensure documentation supports both implementation accuracy and production support visibility.
  • Collaborate with QA and Compliance to align documentation with review checkpoints and validation processes.
  • Manage documentation updates in response to system changes or new client onboarding workflows.
  • Contribute technical content to team training resources and onboarding programs.

Process Optimization and Strategic Enablement - 10%
  • Identify inefficiencies in transformation workflows and propose process automation opportunities.
  • Partner with cross-functional teams to align on standardization of configuration rules and mapping templates.
  • Support internal training efforts by documenting newly developed configuration techniques or lessons learned.
  • Recommend updates to intake process, testing cadence, and peer review approaches.
  • Participate in strategic planning initiatives for tooling, transformation platform improvements, or release process enhancements.
  • Contribute to retrospectives and pilot projects to refine the analyst experience and increase delivery accuracy.
  • Lead discussion of system design constraints during high-impact transformation projects.
  • Help prioritize technical debt and tooling limitations based on analyst perspective and configuration feedback.
  • Support development and QA in the rollout of new tools or enhancements to transformation components.
  • Collaborate on metrics tracking and reporting related to configuration accuracy, rework reduction, and team efficiency.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree or equivalent combination of education and experience required.
  • Bachelor's degree in technical field preferred.
  • 1-2 years of experience in data integration, ETL development, or system configuration.
  • Proficient in SQL and ETL platforms (Informatica preferred).
  • Strong understanding of file formats and transformation logic (CSV, fixed-width, XML, JSON).
  • Experience troubleshooting ingestion failures and system setup conflicts.
  • Excellent documentation and communication skills, especially with cross-functional partners.
  • Highly analytical, adaptable, and able to manage multiple high-impact issues concurrently.
  • Ability to mentor peers and explain technical concepts and procedures to new team members.

#LI-ID1
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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