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Data Analyst Jobs in Macon, GA (NOW HIRING)

CLEAN CONTROL CORP

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

This role blends hands-on analytics, report development, data quality improvement, and data security implementation. The right candidate can turn operational, inventory, and supply-chain data into ...

CLEAN CONTROL CORP

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

This role blends hands-on analytics, report development, data quality improvement, and data security implementation. The right candidate can turn operational, inventory, and supply-chain data into ...

All JobsData Analyst JobsData Analyst Jobs in Macon, GA

Data Analyst information

See Macon, GA salary details

$32.6K

$79.3K

$130.4K

How much do data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst in Macon, GA is $79,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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For Data Analyst jobs in Macon, GA, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Macon, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $79,258 per year, or $38.1 per hour.

IT Data Analyst

Clean Control Corporation

Warner Robins, GA • On-site

$75 - $85/hr

Other

Posted yesterday

New

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

IT Data Analyst

Full-time Regular Warner Robins, GA, US

13 days ago Requisition ID: 1016

Salary Range: $75,000.00 To $85,000.00 Annually

Position Summary

We are seeking a practical, detail-oriented IT Data Analyst to strengthen how our business uses data across Microsoft Dynamics products and the Microsoft 365 ecosystem. This role blends hands‑on analytics, report development, data quality improvement, and data security implementation. The right candidate can turn operational, inventory, and supply‑chain data into clear business insight while helping ensure sensitive information is properly classified, governed, protected, and retained.

What You Will Do
  • Extract, transform, validate, and analyze data from Microsoft Dynamics products, with Dynamics 365 Finance & Supply Chain Management / Finance & Operations experience preferred.
  • Build and maintain Power BI dashboards, reports, semantic models, and supporting data flows for Finance, Supply Chain, Inventory, Procurement, Warehouse, and other business teams.
  • Partner with managers and subject‑matter experts and others to define reporting needs and turn business questions into reliable data solutions.
  • Design, document, and support data models that are scalable, accurate, and easy for business users to understand.
  • Identify data quality gaps, investigate root causes, recommend improvements, and help maintain trusted data sources.
  • Document reporting logic, data lineage, recurring processes, security configurations, and support procedures.
Data Security & Governance Responsibilities
  • Support Microsoft 365 data security controls, including sensitivity labels, Data Loss Prevention policies, access reviews, retention settings, audit capabilities, eDiscovery support, and Microsoft Purview features.
  • Help classify business data based on sensitivity, business value, retention needs, and access requirements.
  • Assist with security architecture decisions for data storage, sharing, reporting, and collaboration across Microsoft 365, Dynamics, SharePoint, OneDrive, Teams, and related platforms.
  • Review access patterns and permission structures to help ensure data is available to the right people without overexposing sensitive information.
  • Contribute to governance standards for reporting datasets, document libraries, secure collaboration spaces, and business‑critical data sources.
Required Qualifications
  • Professional experience as a Data Analyst, Business Intelligence Analyst, Systems Analyst, or similar role working with ERP, operational, inventory, or supply‑chain data.
  • Hands‑on experience with Microsoft Dynamics products; Dynamics 365 Finance & Supply Chain Management / Finance & Operations is strongly preferred.
  • Strong Power BI skills, including data modeling, DAX, Power Query, report design, and performance‑conscious dataset development.
  • Experience writing SQL queries and working with relational databases or structured business data is preferred.
  • Working knowledge of Microsoft 365 security and compliance capabilities, including Microsoft Purview, sensitivity labels, DLP, information protection, audit, retention, and eDiscovery concepts.
  • Ability to communicate technical findings clearly to technical and non‑technical audiences.
  • Strong attention to detail, sound judgment, and a commitment to data accuracy, confidentiality, and business usability.
Preferred Qualifications
  • Microsoft certifications such as PL-300, MB-920, SC-400, SC-200, or equivalent hands‑on experience.
  • Experience with Azure Data Lake, Azure Synapse, Microsoft Fabric, or similar cloud data platforms.
  • Experience with Power Automate, Power Apps, Azure Logic Apps, or other workflow automation tools.
  • Knowledge of finance, inventory, procurement, warehouse, manufacturing, or supply‑chain processes in a production environment.
  • Understanding of data privacy, records retention, information security best practices, and regulatory considerations such as GDPR where applicable.
What Success Looks Like
  • Business users trust the reports because the data is accurate, well‑defined, and consistently maintained.
  • Leaders have better visibility into operational, inventory, and supply‑chain performance.
  • Sensitive data is easier to identify, protect, govern, and retain across Microsoft 365 and Dynamics‑related environments.
  • Reporting and data security processes are documented well enough to support continuity, auditability, and future growth.
What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work with modern Microsoft cloud, analytics, ERP, and security technologies.
  • A collaborative environment where IT, operations, finance, and business teams work closely together.
  • Room for professional growth in data analytics, business intelligence, data governance, and security architecture.
  • Flexible working arrangements, subject to business needs and company policy.
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