1

Accounting Data Analyst Jobs in Raleigh, NC (NOW HIRING)

This may require financial data analysis, trend recognition, and research as well as the ... Financial Accounting Principals * Managerial Accounting Techniques * Predictive Analytics

Provides financial information to management by researching and analyzing accounting data ESSENTIAL FUNCTIONS Review and approve asset, liability, and expense account journal entries and balance ...

... analyzing of company's accounting data. We expect you to provide detailed information on company's performance, liquidity, solvency, and cash flows as well as analyze its financial position and make ...

Bachelor's degree in Finance, Accounting, Business, Information Technology, Mathematics, Data Analytics or related field required * Minimum Experience: Minimum 2 years of relevant experience in TBM ...

next page

Showing results 1-20

Accounting Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do accounting data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for accounting data analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does an Accounting Data Analyst do?

An Accounting Data Analyst is responsible for analyzing financial data to identify trends, improve reporting accuracy, and support decision-making. They work with large datasets, use statistical tools, and create dashboards to provide insights into financial performance. Their role often involves reconciling accounts, identifying discrepancies, and ensuring compliance with financial regulations. Strong analytical skills, proficiency in Excel or SQL, and knowledge of accounting principles are essential for this role.

What are some common challenges faced by Accounting Data Analysts, and how are they addressed in the workplace?

Accounting Data Analysts often work with large, complex datasets that require careful validation to ensure accuracy, which can present challenges in data consistency and system integration. To address these, many organizations provide ongoing training on the latest data analytics tools and maintain strong support from IT and finance teams. Collaboration is key—analysts regularly meet with colleagues in accounting, finance, and operations to align on data definitions and reporting standards. Over time, mastering these challenges builds expertise in identifying meaningful trends and delivering actionable insights, supporting both personal career growth and the success of the organization.

Can an accountant be a data analyst?

An accountant can transition into a data analyst role since both involve working with data, financial analysis, and reporting. Skills such as proficiency in Excel, SQL, and data visualization tools are valuable in both positions, and accounting experience provides a strong foundation for analyzing financial data effectively.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming an accounting data analyst, as the role values skills in data analysis, Excel, SQL, and visualization tools. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start this career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but accounting data analysts play a crucial role in interpreting complex financial data, ensuring accuracy, and providing strategic insights. Human judgment, domain expertise, and communication skills remain essential in this role, even as AI tools become more integrated into workflows.

What is an accounting data analyst?

An accounting data analyst is a professional who examines financial data to identify trends, discrepancies, and insights that support decision-making and ensure accuracy in financial reporting. They often use tools like Excel, SQL, and accounting software, and require strong analytical skills and knowledge of accounting principles.

What are the key skills and qualifications needed to thrive in the Accounting Data Analyst position, and why are they important?

To thrive as an Accounting Data Analyst, you need a solid background in accounting principles, data analysis, and financial reporting, typically supported by a bachelor’s degree in accounting, finance, or a related field. Proficiency with tools such as Microsoft Excel, SQL, financial ERP systems (like SAP or Oracle), and experience with data visualization software such as Tableau or Power BI are highly valued, and certifications like CPA or Chartered Accountant can be advantageous. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills, as is the ability to work collaboratively across different departments. These competencies ensure that you can accurately analyze financial data, identify trends, and provide meaningful insights to support sound business decisions.

What are the most commonly searched types of Accounting Data Analyst jobs in Raleigh, NC? The most popular types of Accounting Data Analyst jobs in Raleigh, NC are:
What job categories do people searching Accounting Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Accounting Data Analyst jobs in Raleigh, NC are:
Infographic showing various Accounting Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

Financial Data Analyst II

NC SECU

Raleigh, NC • On-site

Full-time

Posted 8 days ago


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!

Responsibilities:

  • Compile, organize, and analyze financial information in support of budgeting, forecasting, and decision-making processes. This may require financial data analysis, trend recognition, and research as well as the preparation of visualizations and presentations under supervision.
  • Conduct data collection, normalization, validation, and reconciliation tasks to ensure accuracy and completeness of data.
  • Assist in developing and implementing process improvements and automated solutions.
  • Collaborate with cross-functional teams to gather data and insights for projects.
  • Contribute to the maintenance and optimization of financial databases, spreadsheets, and systems.
  • Support senior analysts in conducting financial research and special projects.

Required Knowledge, Abilities, Skills:

  • Data Mining Techniques
  • Data Visualization
  • Programming for Data Analytics (e.g., Python or R)
  • Business Statistics
  • Database Management (e.g. SQL)
  • Financial Modeling Skills
  • Knowledge of Excel, Tableau, Microsoft Power BI and various coding languages (VBA, R, Python, SAS) are essential to the success of this position.
  • Prior experience developing and executing queries and/or reporting for data sets required.
  • Ability to analyze data, draw conclusions to make recommendations and communicate effectively with others in an understandable manner.
  • Capability to identify and document data quality issues, limitations and gaps that may exist.
  • Demonstration of sound judgment in actions and decision-making.
  • Ability to organize work effectively and follow through on work activities and deliverables.
  • Capacity to multi-task and work effectively with exacting deadlines.
  • Ability to demonstrate flexibility and evolve with an ever-changing environment.
  • Attention to detail.

Desired Knowledge, Abilities, Skills

  • A good working knowledge in financial software and tools including the Workday suite of products (Prism, Accounting Center, Adaptive Planning, Office Connect and Reporting)
  • Financial Accounting Principals
  • Managerial Accounting Techniques
  • Predictive Analytics
  • Advanced Spreadsheet Modeling
  • Business Intelligence Tools
  • Advanced Financial Accounting Concepts
  • Financial Statement Analysis Techniques

Required Education: Bachelor's in Information Technology, Data Analytics, Accounting, Business, Finance or related Field

Desired Education: Master's in in Information Technology, Data Analytics, Accounting, Business, Finance or related Field. CPA Certification is also acceptable

Required Relevant Experience: 2 - 5 Years

Special Position Requirements:

  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

Disclaimer

State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.