1

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

Data Analyst

Raleigh, NC · On-site

$60K - $80K/yr

Final base salary for this role will be based on the individual's geographic location, as well as ... PyTorch for data analysis and automation * Knowledge of cloud platforms such as AWS, Azure, or ...

New

Data Analyst

Raleigh, NC · On-site

$60K - $80K/yr

Final base salary for this role will be based on the individual's geographic location, as well as ... PyTorch for data analysis and automation * Knowledge of cloud platforms such as AWS, Azure, or ...

New

Data Analyst

Raleigh, NC · On-site

$60K - $80K/yr

Final base salary for this role will be based on the individual's geographic location, as well as ... PyTorch for data analysis and automation * Knowledge of cloud platforms such as AWS, Azure, or ...

New

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Raleigh, NC Salary: $27.00 USD Hourly - $28.00 USD Hourly Description: Our client is currently seeking a Data Analyst Job Summary: Data Analytics / Data Engineer Contractor This role supports two ...

Manipulate, analyze, and interpret complex data sets; identify trends and issues; and translate ... Competitive salary along with full health benefits with an HSA option * Flexible PTO and bank ...

Manipulate, analyze, and interpret complex data sets; identify trends and issues; and translate ... Competitive salary along with full health benefits with an HSA option * Flexible PTO and bank ...

Manipulate, analyze, and interpret complex data sets; identify trends and issues; and translate ... Competitive salary along with full health benefits with an HSA option * Flexible PTO and bank ...

Manipulate, analyze, and interpret complex data sets; identify trends and issues; and translate ... Competitive salary along with full health benefits with an HSA option * Flexible PTO and bank ...

Manipulate, analyze, and interpret complex data sets; identify trends and issues; and translate ... Competitive salary along with full health benefits with an HSA option * Flexible PTO and bank ...

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... Annual salary is one component of Red Hat's compensation package. This position may also be ...

Principal Data Analyst

Raleigh, NC · On-site

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... The salary range for this position is $125,653 - $180,000/year. Actual offer will be based on your ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data) SCHOOL/DEPARTMENT Human Resources-Salary and Information Systems LOCATION Crossroads III, Cary, NC ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data) SCHOOL/DEPARTMENT Human Resources-Salary and Information Systems LOCATION Crossroads III, Cary, NC ...

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

Analyze Human Resources policies and processes, including reviewing, creating, documenting ... internal salary data, through the use of various compensation tools * Perform site visits for ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data) SCHOOL/DEPARTMENT Human Resources-Salary and Information Systems LOCATION Crossroads III, Cary, NC ...

next page

Showing results 1-20

Data Analyst Salary information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do data analyst salary jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data analyst salary 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 is the average salary of a data analyst?

The average salary of a Data Analyst varies depending on factors such as location, experience, industry, and education. In the United States, entry-level Data Analysts typically earn between $55,000 and $70,000 per year, while those with several years of experience can make upwards of $90,000 annually. Salaries may be higher in major tech hubs or when working for large organizations. Additionally, specialized skills in tools like SQL, Python, and Tableau can positively impact earnings.

What factors can influence the salary range for a data analyst?

Several factors can impact the salary of a Data Analyst, including geographic location, industry, years of experience, and proficiency with analytical tools such as SQL, Python, or Tableau. Data Analysts working in major tech hubs or for companies in the finance and technology sectors often command higher salaries. Additionally, those with advanced degrees or certifications in data analytics may have access to more competitive compensation packages. It's also common for salaries to increase as analysts gain experience and take on more complex projects or leadership responsibilities.

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 visualization tools (like Tableau or Power BI), programming languages (such as SQL, Python, or R), and experience with databases are commonly required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These skills and qualities are crucial for transforming raw data into actionable business decisions and supporting organizational objectives.

What is the difference between Data Analyst Salary vs Business Analyst Salary?

AspectData AnalystBusiness Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldsBachelor's in Business, Management, or related fields
Work EnvironmentData-focused roles in tech, finance, healthcareBusiness process and strategy roles across industries
Employer & Industry UsageTech companies, finance firms, healthcare organizationsConsulting firms, corporate sectors, government agencies
Common Search & ComparisonYesYes

While both roles involve analyzing data, Data Analysts primarily focus on interpreting data sets to support decision-making, whereas Business Analysts concentrate on improving business processes and strategies. Salary differences depend on industry, experience, and location, but understanding these distinctions helps in career planning and salary expectations.

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 SQL, Excel, and data visualization tools, experienced analysts can earn above-average wages, making it a financially rewarding career for many professionals.

Is a data analyst well paid?

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 experience and certifications. Overall, the role is considered well paid relative to many other entry-level positions.

Is it hard to become a data analyst?

Becoming a data analyst typically requires proficiency in data analysis tools like Excel, SQL, and statistical software, along with strong analytical and problem-solving skills. While some roles may require a bachelor's degree in a related field, gaining relevant certifications and practical experience can also help ease the path into the profession.

What exactly 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.

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

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

Infographic showing various Data Analyst Salary 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.

Data Analyst

Raleigh, NC • On-site

$60K - $80K/yr

Other

Medical, Retirement

Posted 2 days ago

New


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

About the Role:

Grade Level (for internal use):

08

The Team:

The Data/Content Management team delivers and maintains accurate, complete, and timely financial datasets while leveraging cutting-edge AI and automation technologies. Our team of technical data analysts works on various research reports and company documents to collect information and generate meaningful insights from data. We support Compustat Fundamentals and other critical business lines, focusing on innovation through AI/LLM tools and advanced analytics to meet our clients' evolving needs.

The Impact:

We provide the highest quality content that is essential for our clients to make decisions with conviction. As a Data Analyst, you will support the integrity and comprehensiveness of datasets by utilizing advanced technical tools including Python, SQL, and AI/LLM technologies to automate data collection, analysis, and standardization processes from various sources including regulatory documents, earnings reports, and market publications.

What's in it for you:

Work with cutting-edge AI and machine learning technologies in the financial data space

Develop advanced technical skills in Python programming, SQL database management, and AI/LLM implementation

Gain comprehensive understanding of global financial markets while building automated solutions

Opportunity to lead process improvement and automation projects that directly impact business efficiency

Collaborate with cross-functional teams on innovative data solutions and emerging technologies

Responsibilities:

  • Design and implement automated data collection workflows using Python and AI/LLM tools to extract, process, and standardize financial data from various sources including regulatory filings, earnings reports, and market documents

  • Develop and maintain SQL queries and database solutions to ensure data integrity, accuracy, and efficient retrieval for Compustat Fundamentals and other financial datasets

  • Leverage large language models and natural language processing techniques to analyze unstructured financial documents, extract key business insights, and automate data classification processes

  • Build and optimize Python-based data pipelines that integrate with existing research tools and databases, reducing manual effort while improving data quality and processing speed

  • Collaborate with cross-functional teams to identify opportunities for AI-driven process improvements and implement technical solutions that enhance research efficiency and accuracy

  • Monitor and troubleshoot automated systems, ensuring consistent performance and implementing enhancements based on evolving business requirements and emerging AI technologies

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $60,000 to $80,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For:

Basic Required Qualifications:

  • Financial Services experience

  • Understanding of financial statements (Balance Sheet, Income Statement, Cash Flow) and their interrelationships

  • SQL database management systems including query optimization and data modeling techniques

  • Experience with AI/LLM tools and frameworks such as OpenAI APIs, Hugging Face, LangChain, or similar natural language processing technologies

  • Analytical and problem-solving skills with attention to detail and ability to work with large, complex datasets

Additional Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical field or relevant experience.

  • Programming skills in Python with experience in data manipulation libraries such as pandas, numpy, or similar frameworks

  • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch for data analysis and automation

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for data processing and AI model deployment

  • Familiarity with data visualization tools like Tableau, Power BI, or Python libraries such as matplotlib and seaborn

  • Understanding of US GAAP reporting standards and financial data standardization processes

Right to Work Requirements:

This role is limited to persons with indefinite right to work in the United States.

What’s In It For You:

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you cantake care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

#J-18808-Ljbffr

What S&P Global employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom