ZipRecruiter

Log In

1

Data Analytics Manager Jobs in Raleigh, NC (NOW HIRING)

Ra

Marketing Analytics Manager

Raleigh, NC · On-site

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Munich Re

Technical Architect - Data, Analytics & AI

Durham, NC · Hybrid

$61.50 - $79.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Munich Re

Technical Architect - Data, Analytics & AI

Cary, NC · Hybrid

$59 - $76/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

next page

Showing results 1-20

All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Raleigh, NC

Data Analytics Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data analytics manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data analytics manager in Raleigh, NC is $94,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 Manager jobs in Raleigh, NC? For Data Analytics Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Raleigh, NC look for? The top searched job categories for Data Analytics Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analytics Manager jobs? Cities near Raleigh, NC with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $94,427 per year, or $45.4 per hour.
FT Data and Analytics Manager *Repost*

FT Data and Analytics Manager *Repost*

Johnston Community College

Smithfield, NC • On-site

$67K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Salary: $67,320.00 - $85,680.00 Annually
Location : Main Campus - Smithfield, NC
Job Type: Full Time Staff
Job Number: FTDAM-04072026
Department: Institutional Effectiveness and Strategic Initiatives
Opening Date: 07/01/2026
Closing Date: 7/31/2026 11:59 PM Eastern
Recruitment Range: $67,320.00 - $85,680.00 Annually
Description
Summary
The Data and Analytics Manager supports the College's mission by transforming institutional data into actionable insights that inform strategic planning, enrollment forecasting, institutional effectiveness, and student success initiatives. This position is responsible for managing and optimizing the College's data warehouse (ZogoTech), conducting advanced statistical analyses and predictive modeling, and supporting internal and external reporting requirements.
This position may offer flexibility for a hybrid or remote work arrangement, subject to departmental needs and approval. Please note that the College does not sponsor employment-based visas.
**Candidates who previously applied need not to reapply. **
Knowledge & Responsibilities
Essential Duties and Responsibilities include the following. Other duties may be assigned.
  • Conducts advanced statistical analyses and predictive modeling to support strategic enrollment forecasting, academic scheduling, and resource allocation.
  • Manages and queries the College's data warehouse (ZogoTech) to extract, integrate, and analyze institutional data.
  • Translates complex analytical findings into clear, actionable insights tailored for stakeholders at all levels.
  • Responds to ad hoc data requests from internal and external stakeholders with accurate, timely, and clearly presented information.
  • Develops, maintains, and automates data reports, dashboards, and visualizations to track institutional key performance indicators.
  • Collaborates with all college units to align data initiatives with institutional goals.
  • Develops and executes data validation procedures to maintain high-quality data standards and ensure the integrity, consistency, and reliability of institutional data.
  • Extracts, cleans, and prepares data using programming languages such as SQL, Python, or SAS for use in reports, dashboards, and predictive models.
  • Develops and maintains documentation for data processes, reporting standards, and methodologies to ensure clarity, consistency, and repeatability.
  • Ensures compliance with federal and state reporting requirements, including IPEDS and other mandated submissions.
  • Supports planning and assessment processes, accreditation efforts, and strategic decision-making with high-quality data and analysis.
  • Assists with designing and administering surveys using platforms such as Qualtrics to gather both qualitative and quantitative data.
  • Stays current with trends in higher education data analytics, strategic enrollment management, and institutional effectiveness.

Supervisory Responsibilities
This position does not have supervisory responsibilities.
Minimum & Preferred Qualifications
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education Minimum: Bachelor's degree in data analytics, statistics, computer science, educational research, or a related field; or equivalent combination of education and experience.
Education Preferred: Master's degree in data analytics, institutional research, statistics, or related discipline.
Experience Minimum: Two (2) to five (5) years of demonstrated experience in data analysis, predictive modeling, and/or institutional research, preferably in a higher education setting.
Experience Preferred: Experience with data warehousing systems, student information systems, and survey methodology.
Additional Information
Language Skills
  • Ability to synthesize and communicate complex data in written, verbal, and graphical formats for diverse stakeholders.
  • Ability to write professional reports, documentation, and data summaries.

Mathematical Skills
  • Proficiency in statistical concepts including regression, correlation, and inferential statistics.
  • Demonstrated ability to apply statistical models to real-world problems in education or related fields.

Reasoning Ability
  • Strong problem-solving skills with ability to analyze data trends, evaluate methods, and propose actionable recommendations.
  • Ability to manage multiple tasks and deadlines in a fast-paced, data-driven environment.
Computer Skills
  • Proficient in statistical software and programming languages such as SQL, Python, R, or SAS.
  • Proficient in data visualization platforms (e.g., Tableau, Power BI) and survey tools (e.g., Qualtrics).
  • Familiarity with Microsoft Office Suite and enterprise systems used in higher education.

Certificates, Licenses, Registrations:
  • None

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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit, use hands and fingers, and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. Specific vision abilities include close vision and the ability to adjust focus. Reasonable accommodations may be made.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The noise level in the work environment is usually quiet.
  • State Health Plan
  • Health Care and Dependent Care Flexible Spending Accounts
  • Dental Insurance
  • Vision Insurance
  • Additional Supplemental Insurances
  • Disability Plan through NC Retirement System
  • NC Retirement Plan
  • Leave (Vacation, Sick, FMLA, Civil and Military, and Voluntary Shared)
  • Acceptance of 120 hours of annual leave transfer to JCC
  • Paid Holidays
  • Longevity
  • Prior State Service Verification
  • Supplemental Retirement Plan
  • Employee Assistance Program
  • Education Benefits
  • State Employees' Credit Union
  • State Employees Association of NC (SEANC)
  • Tojan Alliance Partnership Scholarships with the University of Mount Olive

For further information, please contact 919-209-2022
01
Do you have a Bachelor's degree in data analytics, statistics, computer science, educational research, or a related field; or equivalent combination of education and experience?
  • Yes
  • No

02
Do you have two (2) to five (5) years of demonstrated experience in data analysis, predictive modeling, and/or institutional research, preferably in a higher education setting?
  • Yes
  • No

Required Question

Apply