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Data Analyst Jobs in Raleigh, NC (NOW HIRING)

NC SECU

Financial Data Analyst II

Raleigh, NC · On-site

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 ...

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Trilon Group

Civic Data Analyst (Sustainable Mobility)

Durham, NC · On-site

$65K - $76K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Civic Data Analyst (Sustainable Mobility) Department: Planning Employment Type: Full Time Location: Durham, NC Compensation: $65,000 - $76,000 / year Description Alta Planning + Design seeks a Civic ...

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Trilon

Civic Data Analyst (Sustainable Mobility)

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Durham office. This position is a great opportunity for someone who believes in the importance of active, multimodal ...

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All JobsData Analyst JobsData Analyst Jobs in Raleigh, NC

Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for 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 a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Raleigh, NC?

The most popular types of Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Data Analyst jobs in Raleigh, NC?

For Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Analyst jobs?

Cities near Raleigh, NC with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

Financial Data Analyst II

State Employees' Credit Union

Raleigh, NC • On-site

Full-time

Re-posted 12 hours ago

State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

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.

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