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Data Analyst Ai Jobs (NOW HIRING)

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation ...

Requirements for Data, AI & GenAI * Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features. * Capture ...

Sr. Data Analyst

Irving, TX · On-site

$79K - $100K/yr

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... The Senior Data Analyst - Agentic AI & GenAI Delivery plays a critical role in operationalizing and ...

Perform data analysis using SQL and Python (Pandas) to assess product performance and generate ... supporting AI product development, system evaluation, and cloud-based application performance ...

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... Leverage AI-based tools for automated data extraction and validation, helping to assess output ...

Portfolio Data Analyst

Manhattan, NY · Hybrid

$140K - $185K/yr

Portfolio Data Analyst Career Launch AI Talent Network Location: New York, NY (Hybrid) Type: Full-Time Compensation: $140,000 - $185,000 total compensation (varies by employer) About This Role This ...

Staff Analyst, AI

$155K - $190K/yr

Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables that power AI metrics, while mentoring junior analysts You Have: * 8+ years of experience in ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

Support analytics and business intelligence platforms such as Power BI, or similar tools. * Assist in evaluating emerging analytics, AI, and data technologies that improve institutional effectiveness.

$45K - $60K/yr

Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables that power AI metrics, while mentoring junior analysts You Have: * 8+ years of experience in ...

AI Data Analyst, Journeyman

Stafford, VA · On-site

$100K - $120K/yr

The AI Data Analyst performs data preparation, scripting, query automation, and model execution in support of prepositioning and global logistics analysis, working under the direction of the Senior ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Showing results 41-60

Data Analyst Ai information

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$34K

$82.6K

$136K

How much do data analyst ai jobs pay per year?

As of Sep 13, 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:

What are popular job titles related to Data Analyst Ai jobs?

For Data Analyst Ai jobs, the most frequently searched job titles are:

Infographic showing various Data Analyst Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Project Analyst - AI & Data Transformation

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st Shift (United States of America)

Please review the following job description:

The Project Analyst - AI & Data Transformation supports the delivery, financial governance, and reporting of enterprise AI and data initiatives within the insurance organization. This role partners with program managers, finance teams, data leaders, and engineering teams to coordinate AI platform initiatives, data modernization programs, and advanced analytics use cases.
The position plays a critical role in portfolio tracking, monthly forecast-to-actual financial reporting, and executive presentation development, ensuring AI and data investments are delivered on time, within scope, and within budget.

Key Responsibilities

AI & Data Program Coordination

Support planning and execution of AI and data transformation programs across underwriting, claims, risk analytics, fraud detection, and customer insights.

Coordinate across data engineering, AI/ML teams, analytics teams, and business stakeholders.

Maintain program documentation including project plans, roadmaps, and AI use case inventories.

Track program milestones, dependencies, and delivery risks.

Financial Governance & Budget Management

Manage financial tracking for AI and data transformation portfolios.

Conduct monthly forecast-to-actual budget analysis across AI and data initiatives.

Maintain rolling financial forecasts and forecast adjustments based on project progress, staffing changes, and vendor spend.

Track financial metrics including:

Budget utilization

Forecast accuracy

Variance analysis

Cost drivers

Monitor costs related to:

AI and data platforms

Cloud infrastructure

Vendor and consulting services

Software licensing

Internal engineering resources

Support quarterly reforecasting cycles and annual budgeting processes.

Track CapEx vs OpEx allocations for technology investments.

Prepare financial and program performance reports for executive leadership and PMO governance forums.

AI & Data Portfolio Governance

Support portfolio management of AI and data use cases across the enterprise.

Maintain visibility into AI project pipeline, prioritization, and investment allocation.

Track progress across the AI lifecycle, including:

Use case identification

Model development

Deployment

Operational monitoring

Assist leadership in measuring ROI and business value from AI investments.

Data Platform & AI Delivery Support

Support implementation tracking for enterprise AI and data platforms, including environments built on Databricks.

Assist with program coordination across data engineering, ML engineering, and analytics teams.

Support Agile program execution using tools such as Jira.

Reporting, Dashboards & Executive Presentations

Develop dashboards and reporting for program delivery and financial performance.

Build and maintain executive reporting using tools such as:

Microsoft Power BI

Tableau

Prepare executive presentations and program updates using Microsoft PowerPoint.

Create presentation materials for:

CIO/CDO leadership reviews

AI governance committees

Program steering meetings

Quarterly business reviews (QBRs)

Translate program metrics and financial data into clear visual storytelling for leadership decision-making.

Risk & Compliance

Track program risks, financial exposure, and mitigation plans.

Escalate budget or delivery risks impacting AI initiatives.

Ensure alignment with data governance, AI governance, and regulatory requirements in the insurance industry.

Required Qualifications

Bachelor's degree in Business, Finance, Information Systems, Data Analytics, or related field

1-6 years experience in project analysis, PMO, technology program management, or financial program tracking

1+ year Experience supporting technology, AI, or data platform initiatives

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock unitsand/or a deferred compensation plan.

CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.

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