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Data Analytics Jobs in Raleigh, NC (NOW HIRING)

Skanska USA

Data Analytics Engineer

Durham, NC · On-site

$110K - $132K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

IQVIA, Inc.

Data Analytics Analyst II

Durham, NC · On-site

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

IQVIA

Data Analytics Analyst II

Durham, NC · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

GRAIL

Data Analytics Engineer 1 # 4878

Durham, NC · On-site

For more information, please visit grail.com The Data Analyst 1 contributes to the organization's analytical capabilities by applying foundational professional judgment and technical skills to ...

GRAIL

Data Analytics Engineer 1 # 4878

Durham, NC · On-site +1

For more information, please visit grail.com The Data Analyst 1 contributes to the organization's analytical capabilities by applying foundational professional judgment and technical skills to ...

GRAIL

Data Analytics Engineer 1 # 4878

Durham, NC · On-site +1

For more information, please visit grail.com The Data Analyst 1 contributes to the organization's analytical capabilities by applying foundational professional judgment and technical skills to ...

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All JobsData Analytics JobsData Analytics Jobs in Raleigh, NC

Data Analytics information

See Raleigh, NC salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data analytics in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Raleigh, NC? The most popular types of Data Analytics jobs in Raleigh, NC are:
What are popular job titles related to Data Analytics jobs in Raleigh, NC? For Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analytics jobs? Cities near Raleigh, NC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Raleigh, NC as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $110,688 per year, or $53.2 per hour.
Data & Analytics Manager

Data & Analytics Manager

North Carolina Community Health Center Association

Raleigh, NC • On-site

$72K - $80K/yr

Full-time

Posted 4 days ago

Job description

Please provide current resume and cover letter.

Summary:
The North Carolina Community Health Center Association (NCCHCA) is a membership organization for federally qualified, non-profit patient-governed health care organizations that provide care to patients regardless of insurance status or geographic isolation.  NCCHCA’s mission is to promote and support patient-governed health care organizations and the populations they serve. NCCHA holds the cooperative agreement with the Health Resources and Services Administration (HRSA) to operate the Health Center Controlled Network (HCCN) program. NCCHCA also serves as the Manages Services Organization for the Carolina Medical Home Network Clinically Integrated Network (CMHN CIN) and Carolina Medical Home Network Accountable Care Organization (CMHN ACO).

The Data & Analytics Manager supports NCCHCA’s data strategy, analytics, reporting, and performance measurement activities. This position manages the collection, validation, analysis, interpretation, and presentation of clinical, operational, financial, workforce, and grant-related data to support daily operations, organizational decision-making, performance measurement, and continuous improvement.

The Data & Analytics Manager is responsible for developing actionable insights that improve organizational outcomes, strengthen operational efficiency, support value-based care initiatives, and ensure compliance with federal, state, payer, and grant reporting requirements. The position supports data management, healthcare analytics, value-based care reporting, and effective use of population health, care management, and other healthcare technology platforms as key data sources. The Data & Analytics Manager collaborates across departments to develop dashboards, reports, and data visualization tools that support daily operations, performance monitoring, and strategic decision-making. The Data & Analytics Manager identifies opportunities to leverage emerging technologies, including artificial intelligence and automation tools, to improve reporting processes, data workflows, operational efficiency, and decision support while ensuring appropriate governance and compliance.

Qualification Requirements:
  • Bachelor’s degree in Data Analytics, Statistics, Information Systems, Public Health, Healthcare Administration, or related field required.
  • Master’s degree in a related field preferred.
  • Minimum of five (5) years experience in healthcare analytics, business intelligence, health informatics, quality reporting, or population health analytics.
  • Experience with Electronic Health Records (EHRs), population health and care management platforms, claims data and healthcare reporting systems.
  • Experience developing dashboards, scorecards, and data visualization tools (e.g., Power BI, Tableau, or similar).
  • Knowledge of healthcare quality measures, value-based care reporting, and population health management concepts.
  • Experience working with clinical, operational, financial, workforce, and grant-related data in a healthcare setting.
  • Strong analytical and problem-solving skills with attention to data integrity and accuracy.
  • Ability to manage multiple priorities and projects in a fast-paced environment.
  • Excellent communication skills with ability to translate complex data into actionable insights.
  • Experience in FQHCs, community health centers, ambulatory care, ACOs, or CINs preferred.

Knowledge, Skills and Abilities:
  • Knowledge of healthcare analytics, performance measurement, and quality improvement methodologies.
  • Knowledge of Uniform Data System (UDS) reporting requirements and HRSA performance measures.
  • Understanding clinical quality measures, value-based payment models, and population health management.
  • Knowledge of healthcare data privacy and security requirements, including HIPAA.
  • Advanced Microsoft Excel skills.
  • Experience with business intelligence and data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms.
  • Experience with SQL, Python, data extraction, data warehousing concepts, and reporting tools preferred.
  • Knowledge of emerging healthcare technology trends, including artificial intelligence (AI), automation, and advanced analytics applications.
  • Ability to evaluate and support responsible use of AI tools to improve reporting efficiency, data analysis, workflow automation, and operational decision-making while maintaining compliance with HIPAA, privacy, security, and organizational policies.
  • Experience using or evaluating automation, artificial intelligence, or emerging analytics tools to improve data workflows, reporting processes, or operational efficiency preferred.
  • Experience with data management processes, including file inventory, Secure File Transfer Protocol (SFTP) tracking and management, and maintaining data integrity across multiple systems.
  • Experience developing, administering, and tracking surveys; analyzing survey results; and translating findings into actionable recommendations.
  • Ability to translate complex data into meaningful and actionable information for diverse audiences.
  • Strong analytical, organizational, project management, and problem-solving skills.
  • Excellent written, verbal, and presentation skills.

Supervisory Responsibilities:
  • Supervises assigned analytics and reporting staff, including the Grants and Contracts Data Analyst.
  • Provides leadership, coaching, performance management, and professional development.
  • Establishes priorities and monitors progress toward departmental goals.
  • Supports a collaborative, accountable, and service-oriented work environment.

Essential Functions:
Data Analytics & Reporting:
  • Analyze clinical, financial, operational, claims, and care management data to produce recurring and ad hoc reports for executive leadership, management teams, committees, and the Board of Directors.
  • Develop, maintain, and enhance organizational dashboards, scorecards, key performance indicators (KPIs), and reporting systems to support strategic and operational decision-making.
  • Leads data and analytics components of HCCN initiatives, including performance tracking, technology adoption measurement, reporting, and grant deliverables.
  • Work with population health platforms to validate standard ("out-of-the-box") reports and develop custom reports that meet organizational and health center needs.
  • Develop and deliver training for NCCHCA staff and health center end users on reporting tools, dashboards, data interpretation, performance measures, and analytics best practices.
  • Monitor and improve data quality, data integrity, and overall data health through ongoing validation, auditing, and performance tracking.
  • Support enterprise-wide data initiatives by integrating and analyzing data from multiple systems to improve reporting, operational efficiency, and strategic decision-making.
  • Develop performance monitoring frameworks aligned with organizational priorities and strategic goals.
  • Conduct data analysis, forecasting, benchmarking, and trend analysis to support strategic planning and organizational initiatives.
  • Support quality improvement initiatives through data analysis, performance monitoring, and outcome measurement.
  • Track, analyze, and report clinical quality measures, organizational performance indicators, and payer performance metrics.
  • Support population health management initiatives through patient segmentation, risk stratification, care gap analysis, and performance reporting.
  • Assist in monitoring value-based care programs, payer incentive measures, and alternative payment models.
  • Design, administer, and analyze organizational surveys, track response metrics, and prepare reports that inform quality improvement and strategic initiatives.

Regulatory & Grant Reporting:
  • Support HRSA, Uniform Data System (UDS), grant, payer, state, and federal reporting requirements.
  • Supports HRSA HCCN grant reporting through collection, validation, analysis, and submission of required performance data.
  • Ensure the accuracy, consistency, completeness, and timely submission of all required reports and data deliverables.
  • Collaborate with internal departments and health centers to collect, validate, and reconcile reporting data.

Data Governance & Systems Optimization:
  • Supports the development and advancement of organizational data practices that improve data accessibility, quality, reporting capabilities, and decision-making.
  • Collaborate with Risk Management and organizational leadership to develop and maintain policies and procedures related to data governance, reporting, privacy, security, and analytics.
  • Evaluate opportunities to leverage artificial intelligence, automation, and emerging technologies to improve data processes, reporting efficiency, analytics capabilities, and organizational workflows while ensuring appropriate governance and security practices.
  • Identify opportunities to automate reporting processes, streamline workflows, and improve enterprise-wide operational efficiency.
  • Support the implementation, optimization, integration, and ongoing utilization of analytics, business intelligence, and reporting platforms.
  • Manage assigned data assets, including file inventories, secure file transfer protocol (SFTP) processes, and data exchange workflows, ensuring secure, accurate, and timely data movement
  • Collaborate with internal and external stakeholders, including health centers, vendors, and partners, to support enterprise data initiatives and reporting needs.
  • Perform other duties as assigned.

Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  While performing the duties of this job, the employee is
  • Regularly required to stand, sit; talk, hear, and use hands and fingers to handle or feel; and reach with hands and arms to operate a computer and telephone keyboard, and to reach, stoop or kneel
  • Specific vision abilities required by this job include close vision requirements due to computer work
  • Light to moderate lifting is required such as occasionally lifting office products and supplies, up to 20 pounds

Work Environment:
  • This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. 
  • Level of noise typical for the work environment of this job is Moderate - less than 85 decibels (business office with computers and printers and traffic within the receptionist area)
  • Ability to work in a confined area.
  • Ability to sit at a computer terminal for an extended period of time.

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the position.  All employees may have other duties assigned at any time.