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Analyst Data Analysis Jobs in Georgia (NOW HIRING)

Utilize SQL, Excel, and other data analysis tools to extract and manipulate data. * Identify trends and patterns in sales tax overpayments. * Assist in automating processes to improve data extraction ...

Perform data analysis, profiling, and validation across multiple enterprise data sources * Identify and troubleshoot data quality issues in collaboration with engineering teams * Organize and ...

We are hiring a Data Analyst/Developer to join our team. Your main tasks will include ... Candidate should be able to take a use case from hypothesis and exploratory analysis through ...

Perform data analysis, profiling, and validation across multiple enterprise data sources * Identify and troubleshoot data quality issues in collaboration with engineering teams * Organize and ...

Data Analyst II

Alpharetta, GA · On-site

$59 - $99/hr

About the Role This role performs moderate data management and analysis activities within a defined data domain, supporting business and technical stakeholders. You will work closely with data ...

This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders. Key ...

What will your job entail?      Data Analysis amp; Preparation * Support data collection and data transformation of spend data used for POC or Data Health Check. * Analyze and map complex ...

This position offers the opportunity to work with data to drive informed decision-making and ... Key Responsibilities * Analyse complex datasets to identify trends and insights that inform ...

Proficiency in Power BI, including experience with Data Analysis Expressions (DAX).Familiarity with enterprise data system implementation projects. Strong attention to detail and ability to maintain ...

Proficiency in Power BI, including experience with Data Analysis Expressions (DAX).Familiarity with enterprise data system implementation projects. Strong attention to detail and ability to maintain ...

Hands-on experience in Neo4j database development, deployment and support, preferably in Telecom domain Experience in Telco OSS (desirable) BluePlanet experience Neo4j data analysis. Experience with ...

Showing results 41-60

Analyst Data Analysis information

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a solid understanding of data concepts. Gaining certifications or completing relevant coursework can improve chances of securing a role without professional experience.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can achieve higher compensation, making it a financially rewarding career for many professionals.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.
Infographic showing various Analyst Data Analysis job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

$75K/yr

Full-time

Re-posted 14 days ago


Job description

Applicants who do not complete the personality test accompanying this application will not be considered for the role.


We are seeking a Data Analyst to join our tax recovery team, focusing on sales tax refund reviews. The ideal candidate will analyze transaction-level data, identify overpaid taxes, and support the preparation of refund claims. This role requires strong analytical skills, attention to detail, and familiarity with sales tax regulations.


If you are driven by the pursuit of excellence, take pride in your work, and value the atmosphere of a private, family-run business that emphasizes work-life balance, we invite you to apply to join our team of dedicated professionals who have a relentless dedication to customer service.

Compensation:

$75,000


Responsibilities:
  • Analyze large datasets of purchase transactions to identify overpaid sales tax.
  • Reconcile tax amounts using tax rates, exemptions, and jurisdictional rules.
  • Work closely with tax consultants to prepare refund claims and supporting documentation.
  • Utilize SQL, Excel, and other data analysis tools to extract and manipulate data.
  • Identify trends and patterns in sales tax overpayments.
  • Assist in automating processes to improve data extraction and analysis efficiency.
  • Communicate findings and recommendations to internal teams and clients.

Qualifications:
  • Availability: This is an in-office, onsite 5x per week position.
  • Bachelor’s degree, preferably in Finance, Accounting, Data Analytics, Business, or a related field.
  • 1-3 years of experience in data analysis, tax compliance, or financial analytics.
  • Proficiency in Excel (VLOOKUP, Pivot Tables, Macros) and data visualization tools (Tableau).
  • Experience with SQL, Python, or other data query languages is a plus.
  • Knowledge of sales tax regulations and exemptions is preferred but not required.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

About Company

Agile’s Purpose:

We assist clients by aligning their tax and accounting systems with current sales & use tax laws. That enables them to either maximize the benefit of the exemptions for which they qualify or become and remain compliant with their ongoing sales & use tax collection, reporting, and filing obligations.

Agile’s Vision:

To establish & maintain a reputation with consumers for developing & delivering the most innovative, personalized, and comprehensive sales and use tax solutions to clients.