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Data Integration Analyst Jobs in Georgia (NOW HIRING)

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

The Data Analyst will work heavily within modern cloud and integration environments, ensuring data is accurate, scalable, timely, and easy for teams to use in decision-making. If you enjoy blending ...

Collaborate with business and IT teams to support data integration and modernization efforts. Establish data stewardship and compliance practices. Support enterprise reporting, analytics, and master ...

Seattle, WA Duration: 6-12 Months We are seeking an Analytics Lead / Data Scientist to lead enterprise analytics, reporting, and data integration initiatives across a complex technology environment ...

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Data Integration Analyst information

See Georgia salary details

$17.7K

$74.5K

$140.6K

How much do data integration analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data integration analyst in Georgia is $74,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $94,100.00 per year, depending on experience, location, and employer.

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 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 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 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 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 cities in Georgia are hiring for Data Integration Analyst jobs? Cities in Georgia with the most Data Integration Analyst job openings:
    Sr. Program Manager - Healthcare M&A (AI & Data Platform Integrations) 5202

    Sr. Program Manager - Healthcare M&A (AI & Data Platform Integrations) 5202

    Tier4 Group

    Alpharetta, GA • On-site

    Other

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


    Job description

    Sr. Program Manager – Healthcare M&A (AI & Data Platform Integrations) 5202

    Duration: 6 Month Contract (likely extension or conversion to FTE)

    Location: 100% onsite – Alpharetta, GA


    Overview

    The Senior Program Manager – Healthcare M&A Technology leads and governs complex post-merger technology and data platform integrations within the healthcare industry, leveraging AI-driven insights, automation, and advanced analytics to accelerate integration outcomes.

    This role is critical in integrating healthcare data platforms (claims, clinical, provider, payer, EHR/EMR, revenue cycle systems, and analytics platforms) across acquisitions while ensuring regulatory compliance (HIPAA, HITRUST), data integrity, and business continuity.

    Additionally, this position serves as a strategic partner to the SVP, delivering AI-enabled reporting, predictive financial insights, and unified dashboards across the M&A portfolio.


    Key Responsibilities

    Healthcare M&A Technology Program Leadership

    • Lead enterprise-scale post-acquisition integrations in healthcare environments, including payer, provider, healthtech, or data platform organizations.
    • Drive integration of healthcare data ecosystems, including:
    • Claims & billing systems
    • EHR/EMR platforms (Epic, Cerner, etc.)
    • Revenue cycle management (RCM) systems
    • Clinical, operational, and financial data platforms
    • Oversee data platform consolidation and interoperability, including FHIR/HL7 integration strategies and data normalization.
    • Apply AI to accelerate system rationalization, architecture mapping, and integration orchestration.
    • Ensure compliance with HIPAA, HITRUST, PHI security, and healthcare regulatory standards during integration.
    • Manage multiple concurrent integration tracks using AI-driven dependency mapping and resource optimization.


    Healthcare Data Integration & Analytics

    • Lead data migration and harmonization across disparate healthcare systems with a focus on:
    • Data quality, lineage, and governance
    • Patient/member data matching
    • Master data management (MDM)
    • Drive creation of enterprise healthcare data platforms, enabling unified reporting and analytics.
    • Utilize AI/ML to identify data inconsistencies, cost inefficiencies, and operational risks across acquired entities.
    • Ensure alignment of cloud-based healthcare data platforms (Azure, AWS, GCP) with enterprise architecture standards.

    Timeline, Cost & Synergy Realization

    • Own program financials, including healthcare-specific synergy targets (cost savings, operational efficiencies, platform consolidation).
    • Use AI-powered forecasting to model:
    • Integration costs
    • Technology rationalization savings
    • Revenue cycle improvements
    • Track milestones using predictive analytics and proactively mitigate risks to integration timelines.
    • Monitor KPIs across clinical, financial, and operational systems using real-time dashboards.

    Executive Partnership & Strategy

    • Act as a trusted advisor to the SVP, delivering:
    • AI-driven executive insights
    • Integration readiness assessments
    • Healthcare M&A due diligence support (tech and data platforms)
    • Deliver executive-level reporting across technology, data, compliance, and financial dimensions.
    • Translate complex healthcare integration data into clear, board-level narratives and decisions.

    Stakeholder, Vendor & Governance Leadership

    • Partner with senior leaders across IT, data, clinical operations, compliance, and finance.
    • Manage third-party vendors (healthcare IT platforms, data vendors, integration partners).
    • Establish governance frameworks with:
    • Risk heatmaps
    • Data governance reporting
    • Compliance dashboards
    • Drive alignment between speed of integration and strict healthcare regulatory requirements.

    Delivery Excellence & Process Optimization

    • Implement standardized Healthcare M&A integration playbooks.
    • Leverage AI-enabled tooling for:
    • Agile release tracking
    • Data migration monitoring
    • Compliance validation
    • Financial and synergy reporting
    • Continuously improve processes using lessons learned from prior healthcare integrations.

    Required Qualifications

    • Bachelor’s degree in Computer Science, Engineering, Information Systems, Healthcare IT, or related field.
    • 10+ years of program management experience leading large-scale technology initiatives.
    • Direct experience with Healthcare M&A integrations, including payer, provider, or healthtech environments.
    • Strong experience with healthcare data platforms and interoperability standards (FHIR, HL7, EDI, etc.).
    • Deep understanding of:
    • Healthcare systems (EHR/EMR, claims, RCM)
    • Data governance and patient data management
    • Regulatory requirements (HIPAA, HITRUST)
    • Proven experience integrating cloud-based healthcare data platforms.
    • Strong executive communication skills with ability to influence senior leadership.

    Preferred Qualifications

    • PMP, PgMP, SAFe, or equivalent certification.
    • Experience in healthcare SaaS, health data platforms, or digital health companies.
    • Exposure to Corporate Development or M&A due diligence processes.
    • Background supporting C-level or SVP-level leadership.

    Key Skills & Competencies

    • Healthcare technology program leadership
    • M&A integration strategy and execution
    • Healthcare data platform integration & governance
    • Financial acumen with synergy realization focus
    • Executive communication and storytelling
    • Cross-functional leadership in regulated environments
    • Risk management across compliance, security, and scalability
    • AI/automation adoption in program delivery

    Success Measures

    • Successful integration of healthcare data platforms and systems with minimal disruption to patients, providers, or operations
    • Achievement of cost, operational, and technology synergies
    • Compliance with all healthcare regulatory and data security requirements
    • High confidence from executive leadership through clear, data-driven visibility
    • Establishment of scalable healthcare M&A integration frameworks