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Entry Level Financial Data Analyst Jobs in Cumming, GA

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

Good understanding of financial data, metrics, and reporting processes . * Proficiency in SQL, data analysis, and data visualization tools . * Strong analytical, problem-solving, and communication ...

Agile Consulting Group, Inc.

Data Analyst

Norcross, GA · On-site

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 ...

WizeHire, Inc

Data Analyst

Norcross, GA · On-site

$60 - $80/hr

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 ...

Agile Consulting Group, Inc.

Data Analyst

Norcross, GA

$75K/yr

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 ...

Emory Healthcare

Financial Analyst I, EHC

Atlanta, GA · On-site

$60 - $80/hr

This entry-level position involves analyzing financial data, preparing reports, and collaborating with various departments to ensure financial goals are met. KEY RESPONSIBILITIES * Assist in the ...

The South Plains

Financial Analyst

Atlanta, GA · On-site

Analyze financial data and provide forecasting support. * Prepare reports, projections, and recommendations based on financial data. * Evaluate current and historical financial performance to ...

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Entry Level Financial Data Analyst information

See Cumming, GA salary details

$31.2K

$76.2K

$126.7K

How much do entry level financial data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level financial data analyst in Cumming, GA is $76,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $89,700.00 per year, depending on experience, location, and employer.

What does an entry level financial data analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.

What are the key skills and qualifications needed to thrive as an entry level financial data analyst?

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

What is the difference between Entry Level Financial Data Analyst vs Financial Analyst?

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

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What cities near Cumming, GA are hiring for Entry Level Financial Data Analyst jobs?

Cities near Cumming, GA with the most Entry Level Financial Data Analyst job openings:

Entry Level Financial Data Analyst jobs near you

Data Analyst/Eng

Spruce Infotech

Alpharetta, GA • On-site

Contractor

Re-posted 6 days ago

Job description

Data Analyst/Eng
Alpharetta, GA - Hybrid
Required Skills:
  • Strong experience in Teradata for data warehousing and SQL-based analysis.
  • Hands-on experience with Big Data technologies such as Hadoop.
  • Good understanding of financial data, metrics, and reporting processes.
  • Proficiency in SQL, data analysis, and data visualization tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience working in financial services, banking, or fintech environments.
  • Knowledge of data modeling and ETL processes.
  • Experience with BI tools such as Tableau or Power BI is a plus.

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