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Generative Ai Data Analyst Jobs in Boca Raton, FL

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Summary: Senior Analytics Engineer We're looking for a creative and driven Senior Analytics ... Curiosity about Generative AI, data products, and how emerging tools can drive business value.

Matplotlib for data visualization * Machine learning pipeline design, development, and optimization * Generative AI and Agentic AI * LangChain * LangGraph * LlamaIndex * FAISS / Pinecone * OpenAI ...

... an analytical growth architect to bridge the gap between market reality, advanced data ... Architect "Sense-Decide-Act-Learn" operational loops, incorporating agent-driven AI tools to ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Build and optimize end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring. Develop advanced Generative AI applications leveraging Large Language Models (LLMs ...

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... data analysis techniques to discern patterns and trends - Collaborating with team members to ... Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... powers AI-driven insights and dashboards, and dynamically produce reports that drive business ...

Experience using AI-enabled tools to streamline data preparation, analytics, or documentation. Ability to design KPIs, conduct trend analysis, and translate business questions directly into data ...

Showing results 21-40

Generative Ai Data Analyst information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

How much do generative ai data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for generative ai data analyst in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Data Analyst vs Data Scientist?

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What does a generative AI data analyst do?

A generative AI data analyst analyzes data to develop and improve AI models that generate content, such as text, images, or audio. They work with large datasets, use machine learning tools, and ensure data quality to support AI training and deployment processes.

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What are popular job titles related to Generative Ai Data Analyst jobs in Boca Raton, FL?

For Generative Ai Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:

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The top searched job categories for Generative Ai Data Analyst jobs in Boca Raton, FL are:

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Cities near Boca Raton, FL with the most Generative Ai Data Analyst job openings:

Data Analyst

Plantation, FL

Full-time

Posted 4 days ago


Job description

As a rapidly growing organization, Vitana Pediatric & Orthodontic Partners is looking for a Data Analyst to join our team. This is a great opportunity for an early-career data professional who wants hands-on experience building the data infrastructure and reporting capabilities that support a growing, multi-location healthcare organization.

The Data Analyst will work closely with leadership to help organize, validate, and transform data from multiple practice management systems into reliable, actionable information. This individual will play an important role in developing Vitana's centralized data warehouse and ensuring our teams have accurate data to make better business decisions.

Key Responsibilities

  • Assist in designing and maintaining normalized data schemas for key business and operational metrics, including production, collections, appointments, treatment starts, and other practice-level KPIs.
  • Build and maintain data extraction processes to pull information from multiple Practice Management Systems across Vitana's locations.
  • Develop validation processes to ensure data is complete, accurate, and consistent across systems.
  • Reconcile data within the centralized data warehouse against existing practice and corporate reporting.
  • Write and maintain SQL queries and Python scripts used for data extraction, transformation, validation, and analysis.
  • Support the development and maintenance of Vitana's centralized data warehouse.
  • Build and maintain dashboards and reporting using BI tools such as Power BI, Looker Studio, or Tableau.
  • Partner with Finance, Operations, Marketing, and other departments to understand reporting needs and translate business questions into meaningful analysis.
  • Identify inconsistencies, trends, and opportunities within large datasets and communicate findings clearly to business stakeholders.
  • Assist with documentation of data sources, definitions, processes, and reporting logic.
  • Support ongoing improvements to Vitana's data infrastructure as the organization continues to grow and add practices.

Qualifications

  • Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, Information Systems, or a related field.
  • 0–3 years of relevant professional experience; strong recent graduates with applicable internships, projects, or technical experience are encouraged to apply.
  • Experience working with or building data warehouses such as Google BigQuery, Microsoft Azure, Amazon Redshift, or similar platforms.
  • Working knowledge of SQL and/or Python.
  • Experience with business intelligence and visualization tools such as Power BI, Google Looker Studio, Tableau, or similar platforms.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ability to validate and reconcile data across multiple sources.
  • Comfortable working in a fast-paced, growing environment where priorities may evolve.
  • Strong communication skills and the ability to work collaboratively with both technical and non-technical team members.
  • Healthcare, dental, or multi-location business experience is a plus, but not required.

What We're Looking For

We are looking for someone who is naturally curious, analytical, and excited about solving problems with data. The ideal candidate doesn't just pull numbers, they want to understand where the data comes from, whether it is accurate, and how it can be used to help the business operate more effectively.

This is an opportunity to join Vitana at an exciting stage of growth and have a meaningful role in building the data foundation that will support the organization as we continue to scale.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.