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Data Implementation Analyst Jobs in Georgia (NOW HIRING)

... implement automated data quality testing frameworks • Create, execute, and maintain automated ... analysis and resolution • Write and optimize complex SQL queries to validate large datasets and ...

Data Analyst Job Requisition ID: JR0000000294 Number of Openings: 1 Shift: Day (United States of ... and implement policy and procedure based on best practices Collaborate with Federal, State and ...

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ... implementation. Governance, Lineage & Compliance Awareness * Help teams align AI-consumed data with ...

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ... implementation. Governance, Lineage & Compliance Awareness * Help teams align AIconsumed data with ...

Sr. Data Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

Collaborating with Operations Management teams to implement solutions that enrich customer experience What experience you need * Must have a Bachelor's degree (Technology and/or Data Analytics field ...

Lead Advanced Data Analyst

Alpharetta, GA · On-site

$128K - $215K/yr

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and ... Works closely with DBAs to transition logical models to physical implementation * Deep technical ...

Showing results 41-60

Data Implementation Analyst information

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

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

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.
What job categories do people searching Data Implementation Analyst jobs in Georgia look for? The top searched job categories for Data Implementation Analyst jobs in Georgia are:
What cities in Georgia are hiring for Data Implementation Analyst jobs? Cities in Georgia with the most Data Implementation Analyst job openings:
Infographic showing various Data Implementation Analyst job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Data Quality Analyst

Curant Health

Smyrna, GA • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Curant Health is a patient-centric specialty pharmacy focused on improving outcomes through innovative care management and data-driven decision-making. They are seeking a highly skilled Data Quality Analyst responsible for validating data accuracy, designing automated testing frameworks, and collaborating with cross-functional teams to ensure data quality and compliance.
Responsibilities:
• Validate data accuracy, completeness, consistency, and timeliness across multiple systems
• Perform data reconciliation and identify discrepancies across upstream and downstream sources
• Analyze data anomalies, determine root causes, and identify trends to drive actionable insights
• Develop and maintain both automated and manual data validation processes
• Design, develop, and implement automated data quality testing frameworks
• Create, execute, and maintain automated test cases for ETL pipelines, databases, and reporting layers
• Participate in regression testing and post-deployment production data validation
• Investigate, document, and track data quality issues, including root cause analysis and resolution
• Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
• Support continuous improvement initiatives through data quality monitoring and reporting
• Collaborate with data engineers, analysts, and business stakeholders to define data quality rules and standards
• Ensure adherence to data governance, compliance, and quality standards
• Partner cross-functionally to support reliable, accurate, and scalable data solutions
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 3+ years of experience in data quality, QA, or ETL testing
• Hands-on experience with SSIS (SQL Server Integration Services)
• Strong SQL skills (complex queries, joins, aggregations, large dataset validation)
• Understanding of ETL processes, data pipelines, and data warehousing concepts
• Experience with data validation, reconciliation, and profiling techniques
• Experience designing and developing test plans and automated test cases
• Strong analytical and problem-solving skills
• Excellent attention to detail
• Ability to identify trends, anomalies, and root causes in complex datasets
• Experience working with large datasets and resolving data inconsistencies
• Self-motivated and able to work independently with minimal supervision
• Strong collaboration skills with cross-functional teams
• Excellent written and verbal communication skills
Preferred:
• Familiarity with Agile methodologies
Company:
Curant Health improves patient journey and outcomes through its pharmacist-managed medication management program. Founded in 2000, the company is headquartered in Smyrna, USA, with a team of 201-500 employees. The company is currently Growth Stage.