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Associate Degree In Data Analytics Jobs in Florida

Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree * Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.

Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree * Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.

Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree * Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.

Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree * Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... Bachelor's degree in Information/Computer Science, Data/Information Management, Business ...

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Associate Degree In Data Analytics information

See Florida salary details

$2.4K

$4.7K

$6.7K

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

As of Jul 20, 2026, the average monthly pay for associate degree in data analytics in Florida is $4,700.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,266.67 and $5,016.67 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, and why are they important?

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.

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 Florida? For Associate Degree In Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Florida look for? The top searched job categories for Associate Degree In Data Analytics jobs in Florida are:
What cities in Florida are hiring for Associate Degree In Data Analytics jobs? Cities in Florida with the most Associate Degree In Data Analytics job openings:
Infographic showing various Associate Degree In Data Analytics job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $56,411 per year, or $27.1 per hour.
Data Analyst

Full-time

Posted 7 hours ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 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 Data Analyst to join our team in Doral, FL.

Responsibilities include but are not limited to:

  • Lead the development and implementation of data strategies and frameworks that drive decision-making and organizational learning across the enterprise.
  • Maintain and enhance the accuracy and reliability of the CMDB by validating hardware models, correcting asset records, and standardizing location entries in alignment with ServiceNow data governance standards.
  • Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making.
  • Design and develop reports, dashboards, and visualizations that effectively communicate complex data findings to stakeholders at all levels of the organization. Design and manage complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting.
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the development and rollout of ServiceNow modules. Ability to understand the platform and utilize data for analysis.
  • Conduct comprehensive assessments to track utilization across multiple environments, identifying opportunities for cost reduction and operational efficiency improvements.
  • Collaborate with cross-functional teams to identify data needs, address reporting gaps, and deliver timely, accurate insights that support mission objectives. 

Minimum Qualifications:

  • Bachelor’s degree in relevant field and 4 years of overall experience OR a master’s degree and 2 years of experience or a PhD.
    • High School Diploma and 4 years of additional experience may be exchanged in lieu of a required bachelor’s degree
    • Associate’s degree and 2 years of additional experience may be exchanged in lieu of a required bachelor’s degree
  • Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
  • Ability to communicate complex data findings clearly to technical and non-technical stakeholders.
  • Familiarity with IT asset management systems and CMDBs (e.g., ServiceNow) is preferred.

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.
  • 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 an active Secret clearance
     

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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