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Associate Degree In Data Analytics Jobs in Miami, FL

Bachelor's degree in relevant field of study, Data Science, Data Analytics, Computer Science ... High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of ...

Bachelor's degree in relevant field of study, Data Science, Data Analytics, Computer Science ... High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of ...

Bachelor's degree in relevant field of study, Data Science, Data Analytics, Computer Science ... High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Required : • Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics ... analysis, data mining, business case development or other related analytical projects. • ...

A Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. A Masters degree is preferred but not mandatory. * Proven experience as a Data Analyst or ...

Onsite Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly ... Bachelor's degree in business, Data Analytics, Information Systems, or related field * 5+ years of ...

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Associate Degree In Data Analytics information

See Miami, FL salary details

$3.1K

$6K

$8.6K

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

As of Aug 16, 2026, the average monthly pay for associate degree in data analytics in Miami, FL is $6,016.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,458.33 and $6,416.67 per month, depending on experience, location, and employer.

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 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 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.

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 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.

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 popular job titles related to Associate Degree In Data Analytics jobs in Miami, FL?

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

What job categories do people searching Associate Degree In Data Analytics jobs in Miami, FL look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Miami, FL are:

What cities near Miami, FL are hiring for Associate Degree In Data Analytics jobs?

Cities near Miami, FL with the most Associate Degree In Data Analytics job openings:

Full-time

Posted 11 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Doral, FL.

Responsibilities include but are not limited to:

  • Lead the development and implementation of innovative data strategies and frameworks, driving data-driven decision-making and organizational learning
  • Provide expert guidance and mentorship to other Data Scientists and Analysts, fostering a culture of data literacy and collaboration across the organization
  • Lead the design and implementation of complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting
  • Conduct advanced data analysis and modeling, using cutting-edge statistical techniques, data mining, and machine learning algorithms to uncover hidden patterns, trends, and correlations within large data sets
  • Develop predictive models, conduct simulations, and perform statistical analysis to provide actionable insights that drive strategic initiatives, optimize program performance, and support informed decision-making
  • Create sophisticated reports, dashboards, and visualizations to effectively communicate complex data findings and insights to stakeholders at all levels of the organization
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field
     

Minimum Qualifications:

  • Four (4) years of relevant experience in data science, data analytics or in a related role.
  • Bachelor’s degree in relevant field of study, Data Science, Data Analytics, Computer Science, Information Technology, etc.. A degree can be substituted for additional experience: High School Diploma and 4 years of additional experience or Associate’s Degree and 2 years of additional experience.
  • A relevant Master’s degree is equivalent to 2 years of related experience. A relevant PhD is equivalent to 4 years of related experience.
  • Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL), including experience with distributed computing frameworks (e.g., Hadoop, Spark).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and techniques, including the ability to create compelling data stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated data storage, processing, and analytics services.
  • Demonstrated experience in developing and implementing data strategies and frameworks, aligning data initiatives with organizational goals and objectives. Strong understanding of data governance principles, best practices, and relevant data security and privacy regulations (e.g., GDPR, CCPA).

Preferred Qualifications:

  • Master’s degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
  • Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
  • Contributions to industry publications or presentations on data science topics, demonstrating thought leadership and a commitment to advancing the field. Active participation in professional data science communities and organizations.
  • Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
  • Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
     

Clearance Requirements:

  • Must have a current/active Secret security clearance.
  • Must be able to obtain and maintain a Top Secret with SCI eligibility.
     

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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