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Associate Degree In Data Analytics Jobs (NOW HIRING)

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... analytical and communication skills • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of experience in data analytics or data science ...

Shamrock

Operations Data Analyst

Phoenix, AZ · On-site

Bachelor's degree in data science, Data Analytics, Engineering or related area. * 3-5 years of ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics, Finance, or a related field * 7+ years of professional data analytics experience * Advanced ...

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA · On-site

Stay current with industry trends and best practices in data analytics and Power BI Requirements To be successful in this role, you should have: * Bachelor's degree in a relevant field (e.g., Data ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Parsons

Data Analytics Team Lead

Washington, DC · On-site

Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Engineering, or a closely related field., or equivalent work expeience. * 8+ years of experience working within ...

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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 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, 88% Full Time, 9% 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.

Data Analytics Developer, AVP - Credit and Insurance

Blackstone

Miami, FL • On-site

Full-time

Re-posted 12 hours ago

Job description

Job Summary:
Blackstone is the world’s largest alternative asset manager, seeking to create positive economic impact and long-term value. The role involves the analysis, design, implementation, testing, debugging, and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform.
Responsibilities:
• Responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform.
• Help build the platform through use data science, statistics, and computer programming.
• Work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling.
• Build interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients.
• Use engineering and/or data science background to help find alpha in complex credit and structured security markets.
• Comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science.
• Proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data.
• Responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau.
• Play an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics.
Qualifications:
Required:
• Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).
• 3+ years of experience in data analytics/data science role.
• Proficiency in database design as well as SQL and Python programming languages.
• Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.
• Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.
• Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated visualization platforms.
• Expert in designing core data analytics model with a focus on reusability, data processing performance and data accuracy.
• Knowledge in math and statistics to implement financial simulation models and understanding security/fund risk methodologies.
Preferred:
• Work experience with fixed income investment strategies.
• Experience with web-based application development in React & Typescript with AWS infrastructure (Terraform).
Company:
Blackstone invests in private equity, real estate, credit, infrastructure, insurance, and other alternative assets. Founded in 1985, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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