ZipRecruiter

Log In

1

Data Analyst Ai Jobs (NOW HIRING)

Solventum

Senior Data Analyst - AI & Automation

$88K - $111K/yr

As a Senior Data Analyst - AI & Automation you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you ...

Healthcare

Senior Data Analyst - AI & Automation

$88K - $111K/yr

As a Senior Data Analyst - AI & Automation you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you ...

Advancedderm

NY · On-site

$110 - $140/hr

151 Southhall Ln, Maitland, FL 32751, USA Posted Tuesday, August 4, 2026 at 4:00 AM SENIOR DATA ANALYST - AI & DERMATOLOGY CLAIMS ANALYTICS Reporting Structure * Dual reporting relationship:

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 ...

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 ...

New

next page

Showing results 1-20

All JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsData Analyst Ai Jobs

Data Analyst Ai information

See salary details

$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.
More about Data Analyst Ai jobs

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:

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

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

Data Analyst Ai jobs near you
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, AI & ML (Chicago-based)

seoClarity

Chicago, IL • Hybrid

$24.99 - $25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

***Candidates must be authorized to work in the United States***

***Individuals MUST be local to Chicago, as relocation assistance is not available***

We are seeking a Data Analyst, AI & ML (Chicago-based) to join our growing Product & Data team in our downtown Chicago office. This is an ideal opportunity for someone who enjoys working with data, experimenting with AI tools, and solving complex business challenges through analysis and automation. Rather than relying solely on traditional technical skills, you'll leverage modern AI platforms such as Claude, ChatGPT, and other emerging technologies to accelerate research, uncover insights, improve data quality, and support the evolution of our enterprise search intelligence platform.

If you're naturally curious, comfortable working with large datasets, excited by the rapid advancement of AI technologies, and eager to apply those tools to real-world business problems, this role offers exceptional exposure, meaningful responsibility, and long-term growth opportunities within a fast-moving SaaS environment!

Data Analyst, AI & ML (Chicago-based) Perks & Benefits
  • Competitive Compensation: the hourly pay rate is $25.
  • Contract Duration: This role begins with an initial 3-month evaluation period and is intended to transition into a longer-term opportunity for the right individual.
  • Robust Benefits Package: a well-rounded package designed to support your health, financial security, flexibility, and long-term growth, including major medical, dental, and vision coverage, company-sponsored life insurance, a 401(k) with company matching, commuter benefits, generous PTO, paid sick time, and company holidays.
  • Perks That Support You: a continuous learning stipend, paid parental leave with extended work-from-home flexibility for new mothers, company-wide celebrations, and an annual global summit that brings teams together.
  • Snack & Beverage Fuel: a fully stocked kitchen with snacks, drinks, and grab-and-go options to keep energy high and focus sharp throughout the day.
  • In-Office, Hybrid Schedule by Design: – our team comes together in our Downtown Chicago office Tuesday through Thursday for high-impact collaboration, with Mondays and Fridays reserved to focus on remote work. Explore building amenities and photos HERE
    • Convenient Downtown Access: easy access to major commuter options, including nearby CTA train and bus routes, Ogilvie Transportation Center, and Union Station.
    • On-Site Dining & Everyday Convenience: enjoy access to Market Creations, a convenient on-site café/restaurant, along with lobby services including a sundry shop, ATM, and FedEx Office.
    • Modern Building Amenities: the building features a newly upgraded amenity floor with the Connect 101 Lounge, flexible collaboration areas, conference space, and a game room for casual breaks or informal team connection.
    • Fitness & Commuter-Friendly Perks: tenants have access to FIT 101, a fitness center with cardio equipment, free weights, Peloton bikes, locker rooms, showers, towel service, and Cycle 101 secure bike storage.
    • Community & Tenant Experience: tenant programming, shared amenity spaces, and unique building features such as its on-site beehive sustainability program.
Data Analyst, AI & ML (Chicago-based) Requirements
  • Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or a related field.
  • 1+ years of professional, academic, internship, research, or project-based experience involving data analysis, business intelligence, analytics, AI tools, or related disciplines.
  • Demonstrated experience utilizing AI tools such as Claude, ChatGPT, Gemini, Copilot, or similar platforms to improve productivity, research, analysis, or decision-making.
  • Basic familiarity with data analysis concepts, data quality principles, and working with structured datasets.
  • Exposure to Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Entity Recognition, or related AI concepts.
  • Ability to leverage AI tools to solve business problems, perform research, analyze information, and generate actionable insights.
  • Strong analytical thinking and problem-solving skills with the ability to investigate questions and identify practical solutions.
  • Excellent curiosity, adaptability, and willingness to learn emerging technologies and analytical methodologies.
  • Strong written and verbal communication skills with the ability to clearly present findings and recommendations.
  • Comfortable working in a collaborative environment where priorities, technologies, and business needs may evolve rapidly.

Data Analyst, AI & ML (Chicago-based) Responsibilities
  • Leverage AI tools such as Claude, ChatGPT, and other emerging technologies to accelerate data analysis, research, problem-solving, and workflow efficiency.
  • Analyze large-scale datasets to identify trends, anomalies, opportunities, and actionable business insights.
  • Support data enrichment, validation, cleansing, and quality improvement initiatives across millions of search and marketing intelligence records.\
  • Assist with identifying relationships between entities, search behaviors, topics, brands, and content using AI-assisted analytical techniques.
  • Partner with Product, Data Science, and Engineering teams to evaluate new datasets, data sources, and AI-driven opportunities.
  • Utilize AI-assisted workflows to investigate business questions, generate insights, and improve operational processes.
  • Develop Proofs of Concept (PoCs) that demonstrate how emerging AI technologies can improve data quality, analysis, and product capabilities.
  • Validate data accuracy and integrity while helping maintain the quality standards required for enterprise-scale applications.
  • Document findings, recommendations, methodologies, and process improvements in a clear and organized manner.
  • Continuously evaluate new AI tools, workflows, and technologies that can improve team productivity and analytical capabilities.
  • Support a fast-moving environment where experimentation, adaptability, curiosity, and continuous learning are highly valued.

Data Analyst, AI & ML (Chicago-based) Nice to Have
  • Experience with Python, SQL, R, Tableau, Power BI, Looker, or similar analytical tools.
  • Experience working with large datasets, search data, marketing data, SaaS platforms, or AI-driven technologies.
  • Exposure to Natural Language Processing (NLP), Entity Recognition, Machine Learning, Knowledge Graphs, or Information Retrieval concepts.
  • Experience using AI-assisted workflows to automate repetitive tasks, improve analysis, or accelerate decision-making.


Benefits
About Us
seoClarity is the technology leader in Search Engine Optimization (SEO) marketing analytics, and our technology platform and services help the world’s best and biggest brands optimize their website content so they can be found online and connect to their customers.

seoClarity sits at the critical intersection of SEO (Search Engine Optimization), AEO (Answer Engine Optimization), and Artificial Intelligence. As search evolves beyond traditional rankings into AI-generated answers, the ability to analyze, organize, enrich, and interpret massive datasets has become more important than ever.

Diversity, Equity, and Inclusion At seoClarity, we embrace and celebrate our differences. We believe that diverse backgrounds, cultures, abilities, experiences, thoughts, and perspectives lead to more creative problem-solving, better outcomes and a stronger organization. seoClarity is proud to be an equal opportunity employer. We believe all our colleagues share in this commitment to fostering an environment that supports, inspires, and respects all individuals. We seek to recruit, develop, and retain the most talented individuals from all social classes, who also share our beliefs.

At seoClarity, employment is based solely on an individual’s merit and qualifications related to their professional competence. We do not discriminate against any applicant or employee because of race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, mental or physical disability, age, genetic information, military or veteran status, marital status, pregnancy or related conditions, or any other basis protected by law or local ordinance.