1

Configuration Data Management Analyst Jobs in Atlanta, GA

Monitor CMDB health and recommend improvements to data quality and governance. * Support ... Strong analytical, documentation, and organizational skills. * Ability to work effectively within ...

Monitor CMDB health and recommend improvements to data quality and governance. * Support ... Strong analytical, documentation, and organizational skills. * Ability to work effectively within ...

Advise Product Owners and departmental leadership on system configuration, data quality, reporting ... Identify continuous-improvement opportunities in reporting, data management, system performance ...

Senior Data Analyst

Atlanta, GA · On-site

$84K - $106K/yr

This role is responsible for supporting system configuration, data integrity, reporting, analytics, training, and implementation initiatives. The Senior Data Analyst partners closely with the Manager ...

New

Provides data management training and education.Responsible for assessing, analyzing, and reporting on performance improvements and presenting data analysis findings in strategy meetings.Develops and ...

Manage, summarize, and analyze quantitative and/or qualitative data * Summarize and explain research findings and their implications * Prepare findings for publication * Develop, review, and abstract ...

next page

Showing results 1-20

Configuration Data Management Analyst information

See Atlanta, GA salary details

$14

$39

$65

How much do configuration data management analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for configuration data management analyst in Atlanta, GA is $39.73, according to ZipRecruiter salary data. Most workers in this role earn between $29.38 and $50.87 per hour, depending on experience, location, and employer.

What is a configuration data management analyst?

Configuration Data Management Analysts are professionals responsible for maintaining and controlling the documentation, data, and records associated with product configurations throughout their lifecycle. They ensure that all changes to product designs, documentation, and processes are accurately tracked and implemented according to established procedures. These analysts play a critical role in industries like aerospace, defense, and manufacturing, where product integrity and traceability are essential. Their work supports consistent quality, regulatory compliance, and efficient product development.

What are the key skills and qualifications needed to thrive as a configuration data management analyst?

To thrive as a Configuration Data Management Analyst, you need expertise in configuration management principles, data analysis, and documentation, often supported by a degree in engineering, information systems, or a related field. Familiarity with configuration management tools (such as PTC Windchill or IBM Rational), ERP systems, and industry standards like ISO 9001 or CMII certification is typical. Strong attention to detail, organizational skills, and effective communication help analysts manage complex data and collaborate across teams. These skills ensure the integrity and traceability of product data, supporting quality control and regulatory compliance within projects.

What are some common challenges faced by configuration data management analysts, and how can they be addressed?

Configuration Data Management Analysts often encounter challenges such as maintaining data accuracy across multiple systems, adapting to evolving project requirements, and ensuring timely change implementations. To address these, it's important to establish robust version control processes, foster clear communication with engineering and project teams, and utilize industry-standard configuration management tools. Continuous learning about new data management software and best practices also helps analysts stay effective in their role.

What is the difference between Configuration Data Management Analyst vs Data Analyst?

AspectConfiguration Data Management AnalystData Analyst
Primary FocusManaging configuration data, ensuring data accuracy for IT and engineering systemsAnalyzing data sets to identify trends and support decision-making
Required SkillsData management, configuration control, technical documentationData analysis, statistical skills, data visualization
Work EnvironmentIT departments, engineering teams, technical projectsBusiness, finance, marketing, various industries
CertificationsITIL, CompTIA Data+ or similarMicrosoft Excel, SQL, Tableau certifications

The Configuration Data Management Analyst primarily focuses on managing and maintaining configuration data within technical systems, ensuring data integrity for engineering or IT projects. In contrast, Data Analysts interpret and analyze data to support business decisions across various industries. While both roles require strong data skills and certifications, their core responsibilities and work environments differ significantly.

Accela Strategic Business/Data Analyst

Lawrenceville, GA • On-site

Synergy America, Inc.
Recruiting and Staffing Services • 11 - 50 employees

Contractor

Posted 8 days ago


Job description


We are seeking a skilled Strategic Business/Data Analyst for a 6 to 12 months contract role in Lawrenceville, GA to support Planning & Development through data analysis, reporting, system support, quality assurance, automation, and technical solution delivery. The position will work with business stakeholders, Product Owners, Business Analysts, developers, and GIS professionals to translate operational needs into reliable data products and system improvements. The ideal candidate combines strong analytical and technical capabilities with the ability to communicate findings clearly, validate data and system functionality, and develop maintainable solutions. Experience with local government planning, permitting, licensing, code enforcement, or Accela Civic Platform is preferred but not required.
Skills:
• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Statistics, or a related field, or equivalent professional experience.
Preferred Experience:
• 3+ years of experience in data analysis, systems analysis, business intelligence, application support, or a related technical role.
• Experience developing and maintaining dashboards and reports using Power BI, including data modeling, Power Query, and DAX.
• Experience querying, validating, and integrating data using SQL and working with relational databases and enterprise data sources.
• Experience developing scripts, applications, or automation using Python, JavaScript, APIs, or other programming languages.
• Experience conducting quality assurance testing, documenting defects, and validating data and system functionality.
• Experience with Accela Civic Platform, local government planning and permitting systems.
• Strong customer-facing, presentation, documentation, and cross-functional collaboration skills. Experience with Agile methodologies and tools such as Jira, SQL Server Management Studio (SSMS), basic programming tools, SharePoint, Teams, Visio, Excel, and PowerPoint.
Responsibilities:
• Perform advanced data and business analysis to support operational and strategic decisionmaking; validate data sources, calculations, and methodologies; and present findings in a clear, timely, and actionable format.
• Develop, maintain, and enhance Power BI dashboards, reports, and other visualizations that provide accurate and meaningful insights; monitor refresh performance, usage, and stakeholder feedback to continuously improve reporting capabilities.
• Develop scripts, applications, reusable tools, and automation using Python, JavaScript, SQL, APIs, and other technologies to reduce manual effort, improve data quality, and enhance operational efficiency. Advise Product Owners and departmental leadership on system configuration, data quality, reporting, performance, risks, and areas requiring improvement or additional attention.
• Prepare technical documentation and conduct demonstrations, training, and knowledge-sharing sessions to strengthen team capabilities and promote consistent use of tools, data standards, and best practices. Maintain and enhance existing dashboards, integrations, scripts, and automation solutions to ensure reliability, performance, security, and long-term maintainability.
• Identify opportunities for continuous improvement in reporting, data management, system performance, quality assurance, and business processes, and recommend practical, data-informed solutions.