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Data Integration Analyst Jobs in Georgia (NOW HIRING)

Merican

Data Business Analyst (HR Data

Atlanta, GA · On-site

Experience working with Workday HR data and API-driven data integration/distribution patterns (e.g., DDP, Apigee). * Strong SQL skills for data validation, data analysis, and reviewing transformation ...

innovitusa

Azure Data Engineer

Atlanta, GA

$110K - $132K/yr

Azure Synapse Analytics * SQL and Python * ETL/ELT development * Data modeling and data warehousing * Data integration and pipeline development * Azure DevOps and Git Preferred Skills: * Databricks

innovitusa

Azure Data Engineer

Atlanta, GA

$110K - $132K/yr

Azure Synapse Analytics * SQL and Python * ETL/ELT development * Data modeling and data warehousing * Data integration and pipeline development * Azure DevOps and Git Preferred Skills: * Databricks

Delta Dental of California

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Work closely with infrastructure and DevOps teams to ensure data systems are secure, reliable, and properly integrated with existing infrastructure. * Perform data profiling, analysis, and data ...

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All JobsData Integration Analyst JobsData Integration Analyst Jobs in Georgia

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 Aug 23, 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 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.

More about Data Integration Analyst jobs

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For Data Integration Analyst jobs in Georgia, the most frequently searched job titles are:

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    Data Integration Analyst jobs near you
    Infographic showing various Data Integration Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,517 per year, or $35.8 per hour.

    Senior Analyst, People Data and Integrations

    Link Logistics

    Atlanta, GA • On-site

    $82K - $104K/yr

    Full-time

    Medical, Retirement, PTO

    Re-posted 8 days ago

    Job description

    Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo.
    The Senior Analyst, People Data and Integrations plays a critical role in advancing the organization's People and Culture capabilities through robust data architecture, system integrations, advanced analytics, and emerging AI capabilities. This role is responsible for designing, building, and optimizing data flows, integration frameworks, and reporting solutions that support accurate, timely, and actionable workforce insights. The position also contributes to the development of AI enabled solutions and intelligent agents that allow stakeholders and leaders to easily access and interact with people data insights. This role partners closely with P&C, Finance, and IT to ensure people data is effectively connected to financial planning, enabling more informed decision making around headcount, labor costs, and organizational strategy.
    Key Responsibilities
    Workforce Planning and Finance Alignment
    • Partner with Finance and HR leadership to support headcount planning, labor cost forecasting, and budget tracking
    • Develop and maintain data models that connect workforce data with financial metrics, including compensation, benefits, and organizational costs
    • Support workforce planning processes by delivering insights on capacity, hiring plans, and cost implications
    • Collaborate on planning tools and processes, including integration with platforms such as Anaplan or similar solutions
    • Explore the use of AI driven forecasting and scenario modeling to enhance workforce planning insights

    System Integrations and Data Architecture
    • Design, build, and maintain integrations between Workday and key business systems, including payroll providers, benefits platforms, finance systems, and enterprise applications
    • Partner with IT and vendors to define integration requirements, data flows, and scalable architecture
    • Ensure reliable and accurate data movement across systems, with a focus on timeliness, completeness, auditability, and reconciliation
    • Support the development of a connected People Technology ecosystem that enables consistent and accessible workforce data
    • Contribute to the design of data architectures that support AI and agent based solutions, including structured and accessible data layers

    People Data and Analytics Enablement
    • Develop and maintain datasets, reporting frameworks, and data models that support operational reporting and strategic analysis
    • Ensure strong data governance, integrity, and accessibility across all people data domains
    • Deliver insights that inform workforce planning, talent strategies, and business decisions
    • Enable self service reporting and data access for HR and business stakeholders
    • Develop AI enabled insights and natural language driven reporting experiences that improve how leaders consume people data

    Automation and AI Enablement
    • Identify opportunities to automate manual processes through system integrations and data exchange between platforms
    • Leverage Workday capabilities, integrations, enterprise tools, and AI solutions to streamline data movement and reduce manual intervention
    • Design and support the development of intelligent agents that allow stakeholders and leaders to retrieve people data insights through intuitive interfaces
    • Partner with stakeholders to implement scalable automation and AI driven solutions tied to integrations and system capabilities
    • Track the effectiveness of automation and AI initiatives with a focus on data accuracy, efficiency gains, and reduced manual effort

    Stakeholder Partnership and Delivery
    • Serve as a consultative partner to HR Technology, IT, Finance, and business leaders
    • Translate business needs into scalable solutions across integrations, data models, reporting frameworks, and AI enabled capabilities
    • Support cross functional initiatives that strengthen the People Technology and data ecosystem
    • Communicate technical concepts, including AI and data solutions, in a clear and business friendly manner

    Required Qualifications
    • Bachelor's degree in Information Systems, Computer Science, Analytics, HR, Finance, or a related field
    • 4 to 7 years of experience in HR technology, data, integrations, analytics, or related roles
    • Proven experience designing and supporting integrations between Workday and enterprise systems such as payroll, benefits, and finance platforms
    • Strong understanding of Workday's data model across core modules, including HCM, Recruiting, Compensation, Benefits, Time Tracking, Absence, and Payroll
    • Strong understanding of data architecture, APIs, middleware, and end to end data flows
    • Experience supporting workforce planning, headcount forecasting, or labor cost analysis in partnership with Finance
    • Demonstrated ability to build and maintain data models and reporting solutions that inform business decisions
    • Strong analytical and problem solving skills across complex datasets and systems
    • Proficiency in Excel and experience with reporting or visualization tools such as Power BI or similar platforms
    • Strong communication and stakeholder management skills across HR, IT, and Finance
    • Familiarity with AI tools, data exploration tools, or emerging technologies that support analytics and automation

    Preferred Qualifications
    • Experience with workforce planning and financial modeling tools such as Anaplan
    • Experience supporting data integration between HR and Finance systems
    • Familiarity with data governance and enterprise data management practices
    • Experience leveraging AI solutions or building agent based tools to enable business user access to data insights

    $140,000 - $150,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience.
    Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off.
    The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
    EEO Statement
    The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email LinkRecruiting@linklogistics.com.

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