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Associate Degree In Data Analytics Jobs (NOW HIRING)

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Minimum Education/Certification Requirements: • Bachelor's degree in Data Analytics or related field, or equivalent experience • Experience working in R required • Experience working in Tableau ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

Compeer Financial

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

Must be working towards completing a bachelor's or master's degree in Data Science, Computer Science, Economics, Mathematics, Statistics, Data Analytics or a related field. * Coursework or experience ...

Vanscoy Rare Pharmacy

$110 - $150/hr

Bachelor's or Master's degree or equivalent experience in Computer Science, Information Technology, and Data Analytics. * Experience : Minimum of 5 years of experience in data engineering, with a ...

Apex Informatics

IT Data Analyst - HS

... degree in Data Science, Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related ...

Dovel Technologies, Inc

$98 - $163/hr

Bachelor's degree TWO (2) or more years of relevant professional experience in data analytics and business intelligence (BI). Experience in querying and wrangling data using SQL. Experience in ...

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

As of Sep 5, 2026, the average monthly pay for associate degree in data analytics in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 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.
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Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Director of Data Analytics

Pacific Neuropsychiatric Specialists

Irvine, CA • On-site

$150K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Benefits:
  • Health insurance
  • Paid time off
  • Vision insurance
  • 401(k) matching
  • Bonus based on performance
  • Dental insurance

Job Summary
The Director of Data Analytics will own the roadmap for data, business intelligence, and analytics to drive clinical, operational, and financial performance. The Director will serve as the primary translator between technical data systems and operational leaders to ensure insights directly inform key business initiatives. This senior leader will build and mentor a high-performing team, partnering with executive and clinical leadership across our outpatient, research, value-based care, and rehab divisions while maintaining strict HIPAA and compliance standards.
Key Responsibilities
  • Define and execute a company-wide data and analytics roadmap aligned with clinical and business growth objectives.
  • Hire, mentor, and lead a team of Data and BI Analysts, fostering a culture of technical excellence, continuous learning, and strategic thinking.
  • Oversee data governance, ensuring high data quality, accuracy, scalability, and strict compliance with HIPAA, PHI standards, and industry regulations.
  • Translate complex data into clear executive dashboards, story-driven reporting, and actionable insights to guide strategic investments and operational strategy.
  • Partner with clinical operations and research teams to integrate analytics directly into EHR workflows, tracking clinical outcomes, patient access metrics, and provider performance.
  • Own projects end-to-end, from framing and planning through execution and delivery, ensuring outputs are timely, accurate, and aligned with business objectives.
  • Oversee predictive modeling and advanced reporting capabilities to support value-based care contracts, payer negotiations, and revenue cycle management (RCM).
  • Establish a self-service analytics capability for end users, leveraging AI-enabled tools where available to reduce reliance on the analytics team for routine reporting.
  • Define the organization's applied AI strategy for analytics, identifying high-value use cases while ensuring responsible, compliant use of AI with PHI.
  • Stay informed on emerging data techniques, industry trends, and drive innovation to ensure best-in-class data practices.

Knowledge, Skills, and Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Healthcare Administration, or a related field. Master's degree preferred.
  • 8+ years in Data Analytics/Business Intelligence, with 3+ years in a team leadership or manager-level role.
  • Prior experience in healthcare data analytics; outpatient, behavioral health, or clinical research settings preferred.
  • Strong understanding of HIPAA compliance, clinical outcome measures, and value-based care metrics.
  • Technical proficiency in SQL, Python, and modern BI/notebook-based analytics platforms; direct experience with Hex a plus.
  • Familiarity with electronic health record databases, billing/claims data, and data pipeline concepts.
  • Exceptional ability to communicate complex, quantitative concepts to non-technical operational leaders, physicians, and executive stakeholders.

Flexible work from home options available.
Compensation: $150,000.00 - $190,000.00 per year
We are Pacific Neuropsychiatric Specialists (PNS) and our experience enables us to offer effective outpatient, individualized, psychiatry care. Our psychiatry team provides psychiatric treatments for children, adolescents, adults, and seniors, from multiple offices located throughout Orange County, we do accept patients from the entire United States as well. Our psychiatrists treat a number of mental health disorders, including anxiety, stress, PTSD, bipolar, schizophrenia, dementia, depression, ADD ADHD, alcohol and chemical dependency, and more. Our Psychiatry practice was founded on the principles of treating patients with care, compassion, and understanding.

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