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Data Analyst Apprenticeship Jobs in Florida (NOW HIRING)

If you have data entry experience, strong attention to detail, and excellent communication skills ... apprenticeship, at all levels of employment. Employees and applicants of CAI will not be subject to ...

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NSO (Apprentice)

Bay Pines, FL · On-site

$20.18 - $31.39/hr

Review service records and other pertinent data, including medical records, to identify and/or ... analyzing the application of appropriate regulations to the facts of a given case. * Practice ...

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This position manages crews of electricians and apprentices, ensuring all work is completed safely ... Lead job hazard analyses and toolbox talks . * Ensure all installations meet National Electrical ...

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Data Analyst Apprenticeship information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst apprenticeship jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data analyst apprenticeship in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a data analyst apprenticeship?

A Data Analyst Apprenticeship is a structured program that combines on-the-job training with learning to develop analytical skills. Apprentices assist experienced analysts in collecting, organizing, and interpreting data to help businesses make informed decisions. They typically use tools like Excel, SQL, and Python to analyze datasets. The apprenticeship provides hands-on experience while often leading to industry-recognized qualifications. It's an excellent pathway for individuals looking to start a career in data analysis without prior experience.

What are the key skills and qualifications needed for a data analyst apprenticeship?

To thrive as a Data Analyst Apprentice, you need a fundamental understanding of statistics, data interpretation, and problem-solving, usually supported by coursework in mathematics, computer science, or related fields. Familiarity with data analysis tools such as Excel, SQL, and visualization software like Tableau or Power BI, along with a willingness to learn relevant certifications, is common. Strong communication, curiosity, and attention to detail help you ask the right questions and present findings clearly. These abilities are crucial for accurately extracting insights, supporting business decisions, and succeeding in a collaborative, fast-paced environment.

What opportunities for career growth are available after completing a data analyst apprenticeship?

Completing a Data Analyst Apprenticeship can open several career paths, including progressing to junior or full data analyst roles, specializing in fields such as business intelligence or data engineering, or pursuing further education and certifications. Many employers value apprenticeships as strong foundations and may offer permanent positions or internal advancement opportunities to successful apprentices. Additionally, you’ll build a professional network and gain hands-on experience that can make your resume stand out for future roles. Ongoing learning and exposure to various projects during your apprenticeship are key drivers for long-term career development in data analytics.

What are the most commonly searched types of Data Analyst Apprenticeship jobs in Florida?

The most popular types of Data Analyst Apprenticeship jobs in Florida are:

What job categories do people searching Data Analyst Apprenticeship jobs in Florida look for?

The top searched job categories for Data Analyst Apprenticeship jobs in Florida are:

What cities in Florida are hiring for Data Analyst Apprenticeship jobs?

Cities in Florida with the most Data Analyst Apprenticeship job openings:

Infographic showing various Data Analyst Apprenticeship job openings in Florida as of August 2026, with employment types broken down into 64% Full Time, 27% Part Time, and 9% Temporary. Highlights an 100% In-person job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Data Scientist / DataOps Engineer

bit schulungscenter GmbH

Miami, FL • On-site

$140 - $210/hr

Other

Posted 24 days ago


Job description

We are Kmeleon, consulting firm based in Miami, USA, with a dynamic and diverse team spread across the Americas and Europe. We specialize in building cutting‑edge generative AI solutions, empowering forward‑thinking enterprises to stay ahead with the transformative power of AI.

What We’re Looking For:

We’re looking for a Data Scientist / DataOps Engineer with a strong background in cloud‑based data architectures, analytics, and MLOps. You will play a vital role in designing, implementing, and maintaining scalable data solutions across Azure (primarily), AWS, and GCP—powering everything from traditional data pipelines to advanced AI/ML models.

Important:
  • We are hiring for senior roles only.
  • English proficiency at a minimum 7/10 level (spoken and written).
  • 3+ years of professional experience (not apprenticeship).
About the Role:
  • Design and optimize data pipelines on Azure, AWS, and GCP, ensuring efficient ingestion, transformation, and storage of large‑scale datasets.
  • Develop and maintain DataOps workflows, integrating with CI/CD pipelines for end‑to‑end automation of data processes.
  • Build scalable ML/AI pipelines that support training, validation, and deployment of machine learning models in production environments.
  • Collaborate on analytics solutions, assisting in data modeling, statistical analysis, and advanced AI/ML experimentation.
  • Implement robust data security and governance strategies, ensuring compliance with industry standards and best practices.
  • Troubleshoot and optimize performance across various data systems, identifying areas for continuous improvement in our architecture.
What You Bring to the Table:
  • 3+ years of hands‑on experience in DataOps, Data Engineering, or Data Science roles, with a primary focus on Azure services (Azure Data Factory, Azure Synapse, etc.).
  • Working knowledge of AWS (e.g., Glue, Redshift, EMR) and GCP (e.g., BigQuery, Dataflow) is highly desirable.
  • Proficiency in Python for data analysis, ML model development, and scripting.
  • Experience with containerization and orchestration (Kubernetes or similar) to manage scalable data processing and model deployments.
  • A strong foundation in automation and CI/CD principles, particularly in the context of data pipelines.
  • Familiarity with infrastructure as code tools (Terraform, Biceps, ARM templates) to automate provisioning and manage resources.
  • Expertise in SQL and NoSQL databases, with hands‑on experience in designing data warehouses and data lakes.
  • It is a plus Experience with LLM/advanced AI/ML model deployment and tuning for production environments.
Why Join Us?
  • Be at the forefront of the AI revolution by joining a global team that pioneers cutting‑edge data and AI solutions.
  • Competitive compensation that rewards expertise and strong communication skills.
  • Remote‑friendly environment with flexible working hours that accommodate diverse lifestyles.
  • Massive growth potential in an AI‑first startup, offering opportunities to expand into leadership roles.
  • Collaborative culture that values innovation, open communication, and mutual respect—where your ideas and contributions truly matter.
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