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Assistant Data Analyst Jobs in Forsyth, GA (NOW HIRING)

IT Data Analyst

Warner Robins, GA ยท On-site

$75K - $85K/yr

This role blends hands-on analytics, report development, data quality improvement, and data ... * Assist with security architecture decisions for data storage, sharing, reporting, and ...

Technical Architect - Data, Analytics & AI

Macon, GA ยท Hybrid

$61.25 - $78.75/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ... commission monitoring * Assist in designing, planning, and coordinating geotechnical ...

Treasury Analyst - AI Trainer

Macon, GA ยท Remote

$50 - $100/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Assistant Plant Manager

Macon, GA ยท On-site

$90K - $100K/yr

Duties * Assist in managing production schedules to meet delivery deadlines while optimizing ... Lead efforts in process improvement initiatives by analyzing data with tools like Microsoft Excel ...

Prepare briefs and conduct staff assist visits/training/immersions providing regional leadership oversight and analysis of localized program health and sustainability. Respond to data inquiries at ...

Prepare briefs and conduct staff assist visits/training/immersions providing regional leadership oversight and analysis of localized program health and sustainability. Respond to data inquiries at ...

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Assistant Data Analyst information

See Forsyth, GA salary details

$24.4K

$62.4K

$119.3K

How much do assistant data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for assistant data analyst in Forsyth, GA is $62,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $72,700.00 per year, depending on experience, location, and employer.

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

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Forsyth, GA? The most popular types of Data Analyst jobs in Forsyth, GA are:
What cities near Forsyth, GA are hiring for Assistant Data Analyst jobs? Cities near Forsyth, GA with the most Assistant Data Analyst job openings:
Infographic showing various Assistant Data Analyst job openings in Forsyth, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,417 per year, or $30 per hour.

IT Data Analyst

CLEAN CONTROL CORP

Warner Robins, GA โ€ข On-site

$75K - $85K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

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.