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Freelance Data Analyst Ai Jobs (NOW HIRING)

Coeur Mining

Analyst, AI

Chicago, IL · On-site

$92K - $105K/yr

... analytics foundation. The successful candidate will design and deploy AI agents and agentic ... Architect and implement streamlined data workflows that integrate across enterprise systems (ERP, ...

Accenture Federal Services

Data Analyst

Washington, DC · On-site

Data Analysis & AI Performance * Analyze chatbot performance metrics such as user satisfaction, deflection rates, response accuracy, latency, and token usage. * Monitor LLM model performance to ...

WAI GLOBAL

Analyst, AI Engineer

Miramar, FL · On-site

WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets ... The Analyst, AI Engineering is an offshore technical role that supports WAI's internal AI ...

Solomon Page

Data Analyst

Austin, TX · On-site

$35 - $45/hr

We are seeking a skilled Data Analyst to perform complex data analysis supporting both ad-hoc and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Elmington

AI Data Analyst

Nashville, TN · On-site

This role partners with the Director of Data Analytics to develop and implement AI-based tools and solutions across the company. All activities will be performed in support of the values of Elmington ...

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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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.
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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.

Business Analyst - AI

Eagle Mountain International Church, Inc.

Newark, TX • On-site

Full-time

Re-posted yesterday

Job description

Description:

The Business Analyst - AI serves as a senior analytics specialist who bridges advanced data analysis and strategic technology advisory functions for the organization. This position supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Operating at the P04-Specialist level, the role focuses on leveraging artificial intelligence (AI) and data-driven methodologies to improve organizational processes, decision-making, and operational efficiency, while recommending new technical initiatives that align with the Ministry’s goals and values.

Work is highly independent. The Business Analyst may assume a team lead role for the work group and serve as a specialist on complex technical and business matters. This position requires the ability to translate complex analytical findings into actionable recommendations for non-technical stakeholders and leadership


PRIMARY DUTIES AND RESPONSIBILITIES: 

Data Analytics & Engineering

  • Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources, transforming raw data into usable metrics and decision-ready insights.
  • Constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity across all analytical workflows.
  • Utilizes scripting and querying tools (Python, R, or SQL), data visualization and BI tools (e.g., Power BI, Tableau), statistical methods, and data modeling to produce reports, data files, and dashboards.
  • Analyzes datasets to generate insights, trends, and recommendations for leadership, translating complex findings into clear, accessible formats.
  • Develops and maintains dashboards, reports, and visualizations that communicate performance metrics and operational insights effectively.
  • Monitors performance of deployed data and AI solutions and recommend improvements based on analytical findings.

AI & Technology Initiative Development

  • Identify opportunities to apply AI, automation, and advanced analytics to improve business processes and operational efficiency.
  • Evaluates, recommends, and supports the selection and implementation of AI tools, platforms, and data infrastructure.
  • Participates in the design, testing, and deployment of AI-driven applications and analytical systems.
  • Recommends new technical initiatives to leadership based on data analysis, industry trends, and organizational needs.
  • Stays current with trends in AI, analytics, and business intelligence, applying emerging best practices to ministry operations.
  • Participates in cross-functional projects supporting digital transformation and data maturity.

Stakeholder Collaboration & Requirements

  • Gathers, analyzes, and documents business requirements for AI and data-driven initiatives, collaborating with stakeholders to understand their needs, objectives, and requirements.
  • Defines use cases, workflows, and success metrics for data and AI solutions in partnership with business owners.
  • Translates business requirements into functional and technical specifications for implementation by AI/ML or engineering teams.
  • Facilitates clear communication between technical teams and non-technical stakeholders, serving as an effective translator across audiences.
  • Prepares and delivers executive- and board-level materials communicating technology and AI strategy, analytical findings, and initiative status.

Data Governance & Quality

  • Works with data teams to ensure data availability, quality, and relevance for AI models and analytical projects.
  • Ensures AI and data initiatives align with data governance, privacy, and ethical standards.
  • Establishes and documents data standards, business processes, system requirements, and analytical solution workflows.

Change Management & Enablement

  • Supports change management efforts related to AI adoption and data-driven decision-making across the organization.
  • Provides training and support to end-users on AI-enabled tools and analytical platforms.
  • Other duties as assigned by management.


Requirements:

EDUCATION AND EXPERIENCE: 

  • Bachelor’s degree in Business, Information Systems, Data Analytics, a quantitative field, or equivalent combination of education and experience required.
  • 7 or more years of progressively responsible experience as a Data Analyst, Business Analyst, or comparable role, consistent with P04-Specialist classification.
  • Demonstrated experience leading or coordinating data analytics projects with high independence and minimal supervision.
  • Experience working with AI/ML projects, data-driven initiatives, or advanced analytics in an organizational setting.

TECHNICAL SKILLS:

  • Proficiency in scripting and querying tools: Python, R, or SQL required.
  • Strong experience with data visualization and BI tools such as Power BI, Tableau, or equivalent platforms.
  • Solid understanding of data modeling, statistical methods, and data warehousing concepts.
  • Familiarity with AI tools, platforms, and concepts including NLP, predictive analytics, and automation.
  • Experience with cloud platforms (Azure, AWS, or Google Cloud) is a plus.
  • Familiarity with Agile/Scrum methodologies and project coordination tools (e.g., Asana, Jira).

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Ability to translate business needs into technical requirements and deliver actionable analytical insights.
  • Strong understanding of data analysis, reporting, and performance metrics.
  • Knowledge of AI concepts and their practical application in organizational environments.
  • Excellent written and verbal communication skills; ability to present complex information clearly to both technical and non-technical audiences.
  • Strong problem-solving, critical thinking, and independent decision-making abilities.
  • Ability to manage multiple projects and priorities simultaneously in a fast-paced environment.
  • Strong organizational and documentation skills.
  • Ability to work collaboratively across teams and departments; self-motivated with demonstrated ability to learn new tools and technologies quickly.
  • Experience supporting technology in a nonprofit, ministry, or mission-driven organization preferred.

KEY COMPETENCIES:

  • Technical depth — advanced analytical skills with hands-on fluency in data tools and AI platforms.
  • Independent judgment — operates with high autonomy; makes and defends analytical and technical recommendations.
  • Strategic communication — translates analytical complexity into decision-ready insights for leadership and board audiences.
  • Initiative — proactively identifies opportunities for process improvement, automation, and new technology adoption.
  • Integrity and discretion — handles sensitive data and organizational information with sound judgment and professionalism.

EQUIPTMENT TO BE USED:

  • Computer, BI and data visualization platforms, scripting environments (Python/R/SQL), AI/ML tools, cloud data platforms, LMS platforms, and standard office equipment.

WORKING CONDITIONS

  • Works in a normal/typical office environment with minimal supervision. 
  • Adherence to the Ministry’s policies, procedures, and standards is required. 
  • Team-oriented environment requiring collaboration and professionalism.

OTHER

  • Born again believer and must adhere to the doctrines of this organization as upheld by Kenneth and Gloria Copeland and their appointed representatives. 
  • Must work well with others as a team and maintain unity. 
  • Must maintain a good attendance record.