ZipRecruiter

Log In

1

Freelance Data Analyst Ai Jobs (NOW HIRING)

Alignerr

Financial Analyst AI Researcher - Remote

$50 - $100/hr

Cross-reference narrative disclosures with underlying quantitative data * Summarize financial ... Freelance autonomy with the structure of meaningful, task-based work * Put your financial expertise ...

Stellar IT Group

Senior Data Analyst

Altamonte Springs, FL · On-site

$80K - $101K/yr

Data Analyst (AI & Cortex Focus) Altamonte Springs, FL - Hybrid (Onsite 1st Wednesday each month) 6-month contract with potential extension or hire Role Overview We are seeking a hands-on Data ...

BravoTech

Data Analyst

Richardson, TX · On-site

Data Analyst - AI & Business Insights Location: Richardson, TX (Hybrid) Schedule: Monday-Friday, 8:00 AM - 5:00 PM Employment Type: Contract (through 12/31/2026) with potential for full-time ...

previous pagenext page

Showing results 21-40

All Jobsfreelance JobsFreelance Data Analyst Ai Jobs

Freelance Data Analyst Ai information

See salary details

$34K

$82.6K

$136K

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

As of Sep 3, 2026, the average yearly pay for freelance data analyst ai in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a freelance data analyst ai?

Freelance Data Analyst AI professionals are independent experts who utilize artificial intelligence techniques to analyze and interpret complex data sets for various clients or organizations. They use tools like machine learning, data mining, and statistical analysis to extract valuable insights that help businesses make data-driven decisions. Unlike in-house analysts, freelancers work on a project-by-project basis, offering flexibility and specialized skills tailored to client needs.

What are the key skills and qualifications needed to thrive as a freelance data analyst ai?

To thrive as a Freelance Data Analyst AI, you need strong analytical skills, proficiency in statistics, and a solid understanding of data modeling and machine learning, often supported by a degree in a quantitative field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as knowledge of AI frameworks like TensorFlow or PyTorch, is essential. Excellent communication, problem-solving abilities, and self-motivation help you stand out when managing client projects independently. These skills and qualities are crucial for delivering accurate insights, meeting client needs, and staying competitive in a fast-evolving field.

How do freelance data analyst ai professionals typically manage client expectations and project timelines?

Freelance Data Analyst AI professionals often work with multiple clients simultaneously, making clear communication and expectation management vital. They usually start by defining project scopes, deliverables, and timelines in detail, often through contracts or statements of work. Regular updates and progress reports help maintain transparency and address any potential roadblocks early. Utilizing project management tools and setting realistic deadlines can also help freelancers balance workloads and ensure timely delivery while maintaining quality. This proactive approach not only builds trust but also increases the likelihood of repeat business and positive referrals.

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

AspectFreelance Data Analyst AiFreelance Data Scientist
CredentialsTypically requires a degree in data analysis, statistics, or related fields; certifications like Microsoft Certified Data Analyst are commonOften requires advanced degrees (Master's or PhD) in data science, statistics, or related areas; certifications like Certified Data Scientist are beneficial
Work EnvironmentFreelance projects often involve data cleaning, visualization, and basic modeling for clients across industriesFreelance roles focus on complex modeling, machine learning, and predictive analytics for diverse sectors
Industry UsageUsed across finance, marketing, healthcare, and e-commerce for data reporting and insightsApplied in AI development, predictive modeling, and advanced analytics in tech, finance, and research

While both roles involve data analysis, Freelance Data Analyst Ai primarily focuses on data visualization and reporting, whereas Freelance Data Scientist handles complex modeling and machine learning. The choice depends on your expertise and project needs.

Is it possible to be a freelance data analyst?

Yes, it is possible to work as a freelance data analyst, as many professionals offer their services independently. Freelance data analysts typically need strong skills in data analysis tools like Excel, SQL, or Python, and may use platforms such as Upwork or Freelancer to find clients. Success depends on building a portfolio, establishing a reliable client base, and maintaining up-to-date technical knowledge.

Is it worth becoming a freelance data analyst with AI?

Becoming a freelance data analyst with AI skills can be valuable as demand for data-driven insights grows across industries. Proficiency in tools like Python, R, and machine learning, along with strong analytical abilities, can enhance job prospects and earning potential in the freelance market.
More about Freelance Data Analyst Ai jobs

What cities are hiring for Freelance Data Analyst Ai jobs?

Cities with the most Freelance Data Analyst Ai job openings:

What are the most commonly searched types of Data Analyst Ai jobs?

The most popular types of Data Analyst Ai jobs are:

What states have the most Freelance Data Analyst Ai jobs?

States with the most job openings for Freelance Data Analyst Ai jobs include:

What job categories do people searching Freelance Data Analyst Ai jobs look for?

The top searched job categories for Freelance Data Analyst Ai jobs are:

Freelance Data Analyst Ai jobs near you
Infographic showing various Freelance Data Analyst Ai job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Re-posted 12 hours ago

Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.

Apply