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

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

Collect, clean, and analyze data from multiple sources * Develop reports, dashboards, and visualizations to support business decisions * Monitor key performance indicators (KPIs) and measure business ...

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Data Analyst Analyst information

See Raleigh, NC salary details

$31.8K

$77.2K

$127K

How much do data analyst analyst jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data analyst analyst in Raleigh, NC is $77,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

What are the top 3 skills for a data analyst?

A data analyst needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, and data visualization software, and good communication skills to present findings clearly. Technical skills in statistical analysis and data management are also essential for effective performance in the role.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make informed decisions. They use tools such as Excel, SQL, and data visualization software to interpret data trends and present actionable insights to stakeholders. Data Analysts often work closely with other departments to identify business needs and support strategic planning. Their work is crucial in guiding business strategies, improving processes, and solving complex problems.

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 background in mathematics or a related field, often supported by a bachelor’s degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

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 tools like Excel, SQL, and data visualization, experienced analysts can earn higher wages, especially in sectors like finance or technology.

How do Data Analysts typically collaborate with other departments within an organization?

Data Analysts frequently work alongside teams from marketing, finance, product, and operations to understand their data needs and deliver actionable insights. They attend cross-functional meetings, clarify requirements, and translate business questions into analytical tasks. Strong communication skills are essential, as Data Analysts must explain technical findings in an accessible way to non-technical stakeholders. This collaborative environment not only broadens their understanding of the business but also helps them identify opportunities for greater impact and career advancement.

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, communication, and domain knowledge that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type specializes in different areas such as interpreting business needs, developing predictive models, optimizing processes, or analyzing financial data, often using tools like Excel, SQL, and visualization software. The specific focus depends on the industry and organization’s data requirements.
What cities near Raleigh, NC are hiring for Data Analyst Analyst jobs? Cities near Raleigh, NC with the most Data Analyst Analyst job openings:
Data Analyst - MS Dataverse 8-11

Data Analyst - MS Dataverse 8-11

Focused HR Solutions

Raleigh, NC • Remote

$50 - $80/hr

Contractor

Posted yesterday


Job description

Position Overview:
  • Candidates will be allowed to work remotely. Candidate must work EST Business Hours. 
  • Our direct client has an opening for a Data Analyst w/ MS Dataverse Exp position # 686457.  
  • This position is for 12+ months, with the option of extension, and will be worked remotely must work EST business hours).

If you are interested, please submit the following:
  • YOUR CURRENT RESUME

Below is the job description – Resumes due ASAP –
 
Description: 
  • Currently, the client enterprise is a complex, multi-platform data environment. Technologies in use include Oracle, DB2, MySQL, and SQL Server, as well as desktop-based applications such as MS Access and MS Excel. DEQ aims to establish an enterprise data model with a primary goal of standardizing shared data entities and attributes and a secondary goal of standardizing database management systems and tools.
  • Related transactional databases and data warehouses will be hosted in Azure, generally using Microsoft Dataverse and SQL Server.
  • The Senior Data Analyst/Architect will provide analysis and leadership on data analysis projects across the client’s enterprise. 
  • You will provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets DEQ's business and technical requirements.
  • You will also provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSIS. 

Required/Desired Skills:
  • Outstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization. - Required - 3 Years
  • Experience with Azure Data Factory as an ETL tool - Required - 3 Years
  • Bachelor’s Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structures – Required – 3 Years
  • Experience with MS Dataverse – Required - 3 Years
  • Experience with MS SSIS - Required - 3 Years
  • Proven track record of solving real world problems using data. Excellent critical thinking skills is a must have for this role. - Required - 3 Years
  • Understanding of different database platforms: Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access. - Required - 3 Years
  • Excellent communication skills including written, verbal, and technology illustrations. - Required - 3 Years
  • Understanding of Data Warehousing and data mining. - Required - 3 Years
  • Understanding of modeling strategies (dimensional, snowflake, relational, unstructured). - Required - 3 Years
  • Experience designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logic - Required - 3 Years
  • Demonstrated experience in writing ad-hoc SQL statements - Required - 3 Years
  • Strong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriate - Required - 3 Years
  • Proven experience with ERD/Data Modelling tools (Toad or others). - Required - 3 Years
  • Experience in executing projects in an Agile / Hybrid environment - Required - 3 Years
  • Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environment - Required - 3 Years
  • Experience with data reporting tools (Power BI, others) - Required - 3 Years

By replying to this job advertisement, I agree I want to receive additional job advertisements from Focused HR Solutions, including email, phone and mail to the contact information I am submitting. I consent to Focused HR Solutions, its affiliates, third parties and partners processing my personal data for these purposes and as described in the Privacy Policy. I understand that I can withdraw my consent at anytime. 
FHR

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About Focuses HR Solutions

Sourced by ZipRecruiter

Focused HR Solutions is a Certified Women Business Enterprise by WBENC. FHR is a full service staffing firm that assists clients nationwide with supplemental staff for their information technology departments on a contract, contract to hire, and direct hire basis. Our team has extensive experience providing full service staffing needs to small, medium and large clients. Focused HR Solutions provides services to technology-driven clients that include many of the most prominent firms in the United States. Our client base includes State and Local Governments, Software Vendors, top Fortune 500 Companies, as well as companies in the automotive, retail, financial, health care, and telecommunication industries. At Focused HR Solutions, we utilize technology to market our candidate’s skills and fulfill our client’s job assignments guaranteed.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Scottsdale, AZ, US