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Business Intelligence Data Analyst Jobs in Georgia

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... business intelligence, data quality Qualifications Additional Information Full-time

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

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 ...

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

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 ...

Business Intelligence (W2)

Atlanta, GA · On-site

$49 - $63.75/hr

No H1B We are seeking a Business Intelligence Subject Matter Expert (SME) with strong experience in Palantir and Databricks platforms to support enterprise-level data analytics initiatives. The ideal ...

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Business Intelligence Data Analyst information

See Georgia salary details

$38.4K

$84.3K

$138.1K

How much do business intelligence data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for business intelligence data analyst in Georgia is $84,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a business intelligence data analyst?

A Business Intelligence (BI) Data Analyst is responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. They use tools like SQL, Power BI, Tableau, and Excel to generate reports, dashboards, and insights. Their role involves identifying trends, measuring KPIs, and improving business processes by providing actionable recommendations. BI Data Analysts work closely with stakeholders to understand business needs and ensure data-driven decision-making. Strong analytical skills, problem-solving abilities, and knowledge of data visualization are key to success in this role.

What are the typical daily responsibilities of a business intelligence data analyst?

Business Intelligence Data Analysts typically spend their days gathering and cleaning data from multiple sources, building and maintaining dashboards or reports, and conducting in-depth analyses to identify trends and opportunities. They often collaborate closely with business stakeholders to understand their needs and translate them into actionable data insights. Additionally, they may be responsible for troubleshooting data discrepancies, presenting findings to non-technical audiences, and providing recommendations for process improvements. This role offers a dynamic mix of technical tasks and business-oriented communication in a fast-paced environment.

What are the key skills and qualifications needed to thrive as a business intelligence data analyst?

A Business Intelligence Data Analyst should possess strong analytical and quantitative skills, a solid understanding of data modeling, and a background in statistics or business-related fields. Familiarity with BI tools like Tableau or Power BI, proficiency in SQL, and certifications such as Microsoft Certified: Data Analyst Associate are often required. Exceptional problem-solving, communication, and collaboration skills help analysts translate complex data into actionable insights. These capabilities enable analysts to drive informed decision-making and contribute to strategic business growth.

What does a business intelligence data analyst do?

A business intelligence data analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use tools like SQL, Excel, and BI software such as Tableau or Power BI to create reports and dashboards, often working with large datasets to identify trends and insights. Strong analytical skills and knowledge of data visualization are essential for this role.

What are the most commonly searched types of Business Intelligence Data Analyst jobs in Georgia?

The most popular types of Business Intelligence Data Analyst jobs in Georgia are:

What job categories do people searching Business Intelligence Data Analyst jobs in Georgia look for?

The top searched job categories for Business Intelligence Data Analyst jobs in Georgia are:

Infographic showing various Business Intelligence Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $84,323 per year, or $40.5 per hour.
KGS Technology Group Inc
IT Services • 51 - 200 employees

Full-time

Re-posted 3 days ago


Job description

Job Description

Full-Time

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. 

 Responsibilities 

Interpret data, analyze results using statistical techniques and provide ongoing reports 

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 

Acquire data from primary or secondary data sources and maintain databases/data systems 

Identify, analyze, and interpret trends or patterns in complex data sets 

Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 

Work with management to prioritize business and information needs 

Locate and define new process improvement opportunities Requirements And Skills 

Proven working experience as a Data Analyst or Business Data Analyst 

Technical expertise regarding data models, database design development, data mining and segmentation techniques 

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) 

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) 

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 

Adept at queries, report writing and presenting findings 

BS in Mathematics, Economics, Computer Science, Information 

Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality

Additional Information

Full-time