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Data Analyst Ai Jobs (NOW HIRING)

AVA Consulting is seeking a Data Analyst Location: Salt Lake City, UT (Hybrid) U.S. Citizens and ... Analyst, AI & Analytics - Executive and Equity Compensation * Analytics across various domains is ...

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

NY · On-site

$70 - $110/hr

... AI systems. * Support general governance, lineage, and compliance awareness for AI‑consumed data. Requirements * Proven experience in data analysis, analytics engineering, data operations, or data ...

DPR Construction Data and AI Project Analyst Overview The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR ...

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 ...

New

AIDriven Analytics Prompt Engineering * Design test and optimize AI prompts in Copilot to * Accelerate data exploration and root cause analysis * Automate insight generation from structured and ...

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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 ...

New

AI / ML Data Analyst

Charlotte, NC · On-site

$40.70 - $50.70/hr

We are seeking a highly motivated Data Analyst with strong analytical skills and practical knowledge of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics to transform data into ...

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Data Analyst Ai information

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$34K

$82.6K

$136K

How much do data analyst ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for 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 data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

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

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What cities are hiring for Data Analyst Ai jobs?

Cities with the most 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 Data Analyst Ai jobs?

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

Infographic showing various Data Analyst Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

AVA Consulting

Salt Lake City, UT • On-site

Other

Posted 13 days ago


Job description

AVA Consulting is seeking a Data Analyst

 

Location: Salt Lake City, UT (Hybrid)

 

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Description:

Analyst, AI & Analytics - Executive and Equity Compensation

  • Analytics across various domains is undergoing a fundamental shift, and we are looking for a highly analytical problem-solver to help transform our Executive and Equity Compensation function.
  • Client is seeking a curious, hands-on analytics builder with unmatched quantitative problem-solving skills and the curiosity to bring innovative solutions to reality and transform how our Executive and Equity Compensation team produces reporting, develops insights, and supports high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation.
  • You will partner directly with the Director of Executive and Equity Compensation to turn complex and sometimes ambiguous business needs into reliable, scalable analytics products and workflows using AI. You will move from problem definition through prototyping, testing, implementation, and adoption.
  • You do not necessarily need deep compensation expertise; rather, you need the technical prowess to translate ambiguous business questions into clear AI product workflows and measurable outputs. We are prioritizing problem solving, analytical depth, technical fluency, learning agility, business judgment, and a record of bringing practical solutions to reality in the age of AI.

What You''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''ll Do:

  • Apply a product-centric approach to streamline, re-engineering and automate our recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows. This includes evaluating compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions.
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting.
  • Apply company approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls.
  • Develop AI-enabled workflows, assistants, or agents that are grounded in approved data and documentation and produce reliable, explainable, and useful outputs.
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes.
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability.
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations.
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI.
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy.
  •  
  • Requirement:
  • Required Qualifications:
  • 3-5 years of relevant experience in either data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field. You are a builder and a problem-solver—someone who relies on their technical and analytical prowess to scale ideas.
  • Bachelor''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''s degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience.
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable.
  • A proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement.
  • Strong proficiency and advanced Excel or Google Sheets strongly preferred; proficiency in SQL Python, R, or another scripting or automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI, or a comparable platform.

Preferred Qualifications:

  • Experience executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain.
  • Business System Analyst experience in the domain of Workday or another HRIS, equity administration platforms

NOTE: Interested Candidates can apply by sending their Updated Resume and Contact Details.

Ron Tolson

AVA Consulting

Fax: 

Web:   


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About AVA Consulting

Sourced by ZipRecruiter

AVA is a Premier provider of Top Talent resources for our Client’s Open Job Positions. AVA has consistently been recognized as a “GO TO” Company by our Clients for their resource needs. As a Staffing Services company, we provide Contract (Temporary), Contract to Hire (Temporary to Permanent), Permanent (Direct Placement) and Statement of Work (SOW) resources to Fortune 1000 clients nationwide.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Dallas, TX, US

Year founded

2004