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Data Analysis Excel Jobs in Raleigh, NC (NOW HIRING)

This may require financial data analysis, trend recognition, and research as well as the ... Knowledge of Excel, Tableau, Microsoft Power BI and various coding languages (VBA, R, Python, SAS ...

New

Applies strong Excel skills for complex data analysis, modelling, and reporting. * Experience communicating to all levels of the organization - to effectively communicate assignment status ...

Performs exploratory and descriptive analysis to identify trends, patterns, and key performance ... Experience preparing reports, dashboards, or visualizations using Excel or introductory business ...

New

Performs exploratory and descriptive analysis to identify trends, patterns, and key performance ... Experience preparing reports, dashboards, or visualizations using Excel or introductory business ...

Performs exploratory and descriptive analysis to identify trends, patterns, and key performance ... Experience preparing reports, dashboards, or visualizations using Excel or introductory business ...

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

Perform analysis on large sets of data, including employee compensation and other highly ... Intermediate to advanced level proficiency with Word, Excel, PowerPoint, and Project required

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Data Analysis Excel information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do data analysis excel jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data analysis excel in Raleigh, NC is $80,333.00, 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 are the key skills and qualifications needed to thrive in the Data Analysis Excel position, and why are they important?

To thrive in a Data Analysis Excel role, you need strong analytical thinking, advanced proficiency in Microsoft Excel, and a solid understanding of statistical methods, often supported by a degree in a quantitative field. Expertise in using Excel’s advanced features—such as PivotTables, VLOOKUP, macros, and data visualization tools—is typically required, and certifications like Microsoft Office Specialist (MOS) can be advantageous. Excellent problem-solving, attention to detail, and clear communication are crucial soft skills for interpreting data and presenting findings to both technical and non-technical stakeholders. These skills are essential for ensuring accurate data-driven insights that support business decision-making and drive organizational success.

What does a data analyst do in Excel?

A data analyst using Excel collects, organizes, and analyzes data to identify trends and support decision-making. They often use functions, pivot tables, and charts to interpret data and create reports, requiring strong Excel skills and attention to detail.

What is a Data Analysis Excel job?

A Data Analysis Excel job involves using Microsoft Excel to organize, analyze, and interpret data to support decision-making. Professionals in this role utilize functions such as pivot tables, VLOOKUP, macros, and charts to identify trends and insights. They often work with large datasets to clean, manipulate, and visualize data for reporting purposes. This role is common in fields like finance, marketing, operations, and business intelligence. Strong analytical skills and proficiency in Excel formulas are essential for success in this position.

What are the typical daily responsibilities of a Data Analysis Excel professional?

As a Data Analysis Excel professional, your daily responsibilities often include collecting, organizing, and cleaning large datasets to prepare them for analysis. You will use advanced Excel functions to analyze trends, generate reports, and create visualizations that help support business decisions. Collaborating with team members from different departments is common, as you may need to clarify data requirements or present findings to various stakeholders. You may also be tasked with automating repetitive workflows and contributing to continuous process improvement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to completely replace data analysts in the near future.

Is Excel a high paying skill?

Excel skills are highly valued in data analysis roles, and proficiency can lead to higher salaries, especially when combined with advanced functions, data visualization, and automation skills like VBA. While basic Excel may not command top pay, advanced expertise can significantly increase earning potential in data analysis and related fields.

What is the salary of Excel data analysis?

The salary for a data analyst skilled in Excel typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced Excel skills and certifications can earn higher salaries.
What job categories do people searching Data Analysis Excel jobs in Raleigh, NC look for? The top searched job categories for Data Analysis Excel jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analysis Excel jobs? Cities near Raleigh, NC with the most Data Analysis Excel job openings:
Infographic showing various Data Analysis Excel job openings in Raleigh, NC as of July 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Financial Data Analyst II

NC SECU

Raleigh, NC

Full-time

Posted yesterday


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.