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Data Analyst Non Technical Jobs in Forsyth, GA (NOW HIRING)

Ability to communicate technical findings clearly to technical and non-technical audiences ... Room for professional growth in data analytics, business intelligence, data governance, and ...

Ability to communicate technical findings clearly to technical and non-technical audiences ... Room for professional growth in data analytics, business intelligence, data governance, and ...

Ability to communicate technical findings clearly to technical and non-technical audiences ... Room for professional growth in data analytics, business intelligence, data governance, and ...

Data-Driven Decision Making : Skill in interpreting engineering data, CAD models, and financial ... Strong analytical thinking, excellent interpersonal skills to handle sensitive matters, and the ...

Data-Driven Decision Making : Skill in interpreting engineering data, CAD models, and financial ... Strong analytical thinking, excellent interpersonal skills to handle sensitive matters, and the ...

... analysis of equipment failures, and troubleshooting of facility within internal Service Level ... to a non-technical audience. - Work with IT managers and other business leaders to coordinate ...

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Data Analyst Non Technical information

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$45

$63

How much do data analyst non technical jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analyst non technical in Forsyth, GA is $45.37, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $51.30 per hour, depending on experience, location, and employer.

What is a data analyst non technical?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

How do data analyst non technical roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.

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

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

Can a non-technical person become a data analyst?

Yes, a non-technical person can become a data analyst by developing skills in data visualization, basic statistical analysis, and tools like Excel or Tableau. Many roles also value strong problem-solving and communication skills, and training or certifications in data analysis can help bridge technical gaps.

What other jobs can a data analyst do?

A data analyst can transition into roles such as data scientist, business analyst, data engineer, or operations analyst, leveraging skills in data visualization, statistical analysis, and tools like Excel, SQL, and Tableau. These roles often require a strong understanding of data management, programming languages like Python or R, and industry-specific knowledge.

What job categories do people searching Data Analyst Non Technical jobs in Forsyth, GA look for?

The top searched job categories for Data Analyst Non Technical jobs in Forsyth, GA are:

What cities near Forsyth, GA are hiring for Data Analyst Non Technical jobs?

Cities near Forsyth, GA with the most Data Analyst Non Technical job openings:

Infographic showing various Data Analyst Non Technical job openings in Forsyth, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,368 per year, or $45.4 per hour.

IT Data Analyst

CLEAN CONTROL CORP

Warner Robins, GA โ€ข On-site

Full-time

Re-posted 4 days ago


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.