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Associate Degree In Data Analytics Jobs in North Carolina

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Finance, or a related field, or an equivalent combination of education and ...

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Associate Degree In Data Analytics information

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$3K

$5.7K

$8.2K

How much do associate degree in data analytics jobs pay per month?

As of Aug 21, 2026, the average monthly pay for associate degree in data analytics in North Carolina is $5,716.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,191.67 and $6,100.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in North Carolina?

For Associate Degree In Data Analytics jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in North Carolina look for?

The top searched job categories for Associate Degree In Data Analytics jobs in North Carolina are:

What cities in North Carolina are hiring for Associate Degree In Data Analytics jobs?

Cities in North Carolina with the most Associate Degree In Data Analytics job openings:

Infographic showing various Associate Degree In Data Analytics job openings in North Carolina as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,603 per year, or $33 per hour.

Director, Integrated Insights & Analytics

Grifols, S.A

Durham, NC • On-site

$150 - $210/hr

Other

Posted 9 days ago


Grifols rating

6.5

Company rating: 6.5 out of 10

Based on 277 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical


Job description

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.

The Director, Advanced Analytics will play a pivotal role in leading the analytics efforts and driving data-driven decision-making strategies within the assigned therapeutic area. This key leadership position requires an experienced and innovative professional with a robust background in data analytics, machine learning, and business intelligence. The Director, Advance Analytics will be tasked with providing actionable insights that align with the company's strategic objectives, fostering a culture of data-driven decision‑making, and leveraging advanced analytics to drive business growth and competitive advantage.

Responsibilities:
  • Lead the development and execution of the advanced analytics strategy to drive business performance and competitive advantage
  • Identify opportunities to leverage data and analytics to drive business growth and improve operational efficiencies
  • Partner with business leaders to understand and influence strategic imperatives related to research and analytics, acts as a thought partner and encourage evidence-based decision making
  • Proactively communicate with multi-functional teams to anticipate future needs and provide teams with strategic recommendations and insights; and identify information and data needs
  • Present complex analytical findings and insights to senior leadership in a clear and compelling manner to support decision-making
  • Establish key performance indicators (KPIs) and metrics to track the impact of commercial initiatives on business outcomes
  • Collaborate with key internal stakeholders to develop data‑driven segmentation and targeting of entities including patients, physicians, office accounts, payers, and health systems
  • Portfolio, cross‑channel and marketing mix optimization assessments
  • Conduct patient/customer level analyses (drivers of adherence, switching, product trial, etc.)
  • Proactively propose analytical solutions to business questions and problems and implement suggested methods
  • Primary point of contact for senior Commercial leaders to engage with research and analytics; serves as advisor to leadership
  • Serves as an expert in the therapeutic area and leads strategic special projects that help shape and drive the direction of the organization
  • Develops people from both a functional skills and leadership perspective with goal of increasing the talent level
  • Oversee the design and implementation of predictive models, segmentation analysis, and other advanced analytics techniques
  • Stay current on industry trends and best practices in advanced analytics and data science
  • Optimizing data collection in partnership with CRM
  • Partner with Marketing and DC to provide insights on Tactical ROI to advise resource allocation
Qualifications:
  • Bachelor's or Master's degree in Statistics, Mathematics, Finance, Computer Science, or a related field
  • 10+ years of experience in advanced analytics, data science, or a related field, with a proven track record of driving business impact through analytics
  • Excellent communication and stakeholder management skills, with the ability to influence and collaborate with cross‑functional teams. Excellent presentation skills with the ability to translate complex data insights into actionable recommendations
  • Strong leadership and team management skills
  • Expertise in statistical modeling, machine learning, data mining, and predictive analytics
  • Experience working in a fast‑paced, dynamic environment with a focus on delivering results and driving innovation
  • Expertise in data visualization tools such as Tableau, Power BI, or similar
  • Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements. Example: If a job level requires a Bachelor’s degree plus 4 years of experience, an equivalency could include 8 years of experience, an Associate’s degree with 6 years of experience or a Master’s degree with 2 years of experience

Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Frequent hand movement of both hands with the ability to make fast, simple, movements of the fingers, hands, and wrists. Frequently walks. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations and frequently travels within the United States. Able to communicate complex information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences. Frequently interacts with others, relates sensitive information to diverse groups. Ability to apply abstract principles to solve complex conceptual issues. Performs a wide range of complex tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence.

Grifols provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. We will consider for employment all qualified applicants in a manner consistent with the requirements of all applicable laws.

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About Grifols

Sourced by ZipRecruiter

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Los Angeles, CA, US

Year founded

2013