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Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Stefanini

SAP Master Data Analyst

Durham, NC · Hybrid

Job Title: SAP Master Data Analyst Location: 2 T.W. Alexander Drive, Research Triangle Park, NC 27709 (Hybrid) *Looking for candidates who will be in person at office at least 3 days a week*

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI Analyst to support the responsible and innovative use of data and artificial intelligence across ...

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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 Jun 17, 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 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

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 communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

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 in the job search process.

What job 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 June 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.

Data Analyst I (Networking/Telecommunication)

Primary Talent Partners

Raleigh, NC

$27 - $32/hr

Other

PTO

Posted 9 days ago

Job description

Primary Talent Partners has a new contract opening for a Data Analyst I (Networking/Telecommunication) with our large power and utilities client in Raleigh, NC. This is a 6-month contract with a potential for extension.
Pay: $27.00 - $32.00/hr; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship.
Description:
We are seeking a detail-oriented and highly analytical Data Analyst to support IT Telecommunications with a focus on extracting, transforming, and analyzing data from the multiple asset tracking databases and network monitoring tools.
This role will play a critical part in analyzing, comparing, cleaning, and completing data from automated network systems to support operational efficiency, reporting, and decision-making. The ideal candidate combines strong Excel expertise with the ability to work across complex systems and datasets in a network/telecom environment.
Key Responsibilities:
  • Extract, analyze, and transform data from multiple data sources and related network automation/provisioning tools
  • Develop and maintain reports using advanced Excel (e.g., pivot tables, formulas, lookups, data models)
  • Cleanse, validate, and reconcile large datasets to ensure accuracy and consistency
  • Identify trends, anomalies, and data quality issues, and recommend improvements
  • Maintain a high level of organization while managing multiple datasets, requests, and deadlines

Required Qualifications:
  • 1-3 years of experience in data analysis, reporting, or IT-related data work
  • Advanced proficiency in Microsoft Excel (required)
  • Strong analytical, organizational, and problem-solving skills
  • Ability to work independently and manage multiple priorities

Preferred Qualifications:
  • Experience working in IT Telecommunications or Networking environments
  • Familiarity with network provisioning or automation systems
  • Exposure to scripting or automation tools (Python, PowerShell, etc.)

Key Competencies:
  • Strong attention to detail and data accuracy
  • Ability to analyze and transform complex data into usable formats
  • Highly organized with strong documentation discipline
  • Effective communication skills
  • Collaborative mindset with the ability to work across technical teams

Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at
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