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Data Analyst Ai Jobs in Indiana (NOW HIRING)

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Job Summary : Netpace Inc is seeking a Data Analyst responsible for collecting, processing, and ... Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in ...

Patrick Industries

IT Sr. Analyst, AI Engineer

Elkhart, IN · On-site

$120 - $160/hr

The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting ... The position partners closely with Product Managers, Platform Engineers, Data Engineers, and ...

Pwc

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Pwc

Data Governance- Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

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Data Analyst Ai information

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

The most popular types of Data Analyst Ai jobs in Indiana are:

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

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

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

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

What cities in Indiana are hiring for Data Analyst Ai jobs?

Cities in Indiana with the most Data Analyst Ai job openings:

Data Analyst Ai jobs near you
Infographic showing various Data Analyst Ai job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst-Healthcare Practice

Indianapolis, IN • On-site

Blue and Company
See more jobs at Blue and Companyexternal

Full-time

Posted 28 days ago

Job description

Data Analyst

Blue & Co., LLC is an independent advisory and accounting firm providing tax, audit, and consulting services with a focus on practical, client-centered solutions. We combine deep industry expertise with a collaborative culture to help clients navigate complex financial and operational challenges.

Help Shape the Future of Data-Driven Consulting

Blue & Co. is making a significant investment in Data & Analytics as a strategic growth initiative for the firm. We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics capabilities that help healthcare organizations make better business decisions.

We believe AI is fundamentally transforming how consulting is delivered. Successful candidates will be comfortable leveraging modern AI tools to accelerate analysis, uncover deeper insights, automate repetitive work, and solve complex business problems while exercising sound professional judgment.

This role is centered on understanding the business behind the data. You will partner with healthcare consultants and client stakeholders to uncover business challenges, define meaningful KPIs, recommend analytical approaches, and design reporting solutions that enable better decision-making. Rather than simply responding to reporting requests, you will help determine what should be measured, why it matters, and how insights should be communicated to create lasting value for our clients.

While this position will spend most of its time supporting our nationally recognized Healthcare Consulting practice, the analytical frameworks, dashboards, and reporting strategies you help create will establish scalable capabilities that extend across the entire firm.

This is an opportunity to influence how data drives consulting decisions, helping shape client strategy rather than simply delivering reports.

Ideal Locations: Louisville, Indianapolis. Candidates in other Blue & Co., LLC locations will also be considered.

Key Responsibilities

  • Partner with consulting teams and client stakeholders to understand business objectives, identify opportunities where data can improve decision-making, and recommend analytical solutions that deliver meaningful business value.
  • Challenge assumptions and help define the questions that should be answered, not simply the reports that should be built.
  • Design reporting strategies, KPI frameworks, and interactive dashboards that enable healthcare leaders to make better operational and financial decisions
  • Develop analytics and dashboards supporting healthcare revenue cycle operations, including billing, collections, denials, underpayments, and contract performance.
  • Analyze healthcare claims (835/837), EHR/EMR, accounting, and reimbursement data to identify trends, improve operational performance, and support client decision-making.
  • Develop reporting and analytical solutions supporting CMS reporting, HCRIS/cost reports, wage index, reimbursement analytics, price transparency, and healthcare benchmarking initiatives.
  • Identify and implement automation opportunities within recurring reporting and analytics workflows to improve efficiency and data consistency.
  • Design, develop, and maintain high-performance Power BI dashboards and semantic models.
  • Work with Microsoft Fabric to support data-driven application features, including data analysis and reporting through Power BI dashboards and reports

Technical Requirements

  • Business Intelligence: Power BI development, including DAX, Power Query (M), semantic models, and report optimization.
  • Data Foundations: Strong understanding of dimensional modeling , ETL/ELT concepts, and data integration.
  • Data Platforms: Exposure to Microsoft Fabric and/or Snowflake. Experience with Financial ERP
  • Healthcare Data Domains: Experience working with healthcare claims (835/837), EHR/EMR, accounting, reimbursement, and other healthcare operational data sources.

Preferred & Related Skills

  • Strong understanding of business processes and the ability to translate operational needs into scalable analytical solutions.
  • Demonstrated ability to effectively leverage AI tools (Copilot, ChatGPT, Claude, or similar) to accelerate analysis, automate repetitive tasks, improve reporting quality, and solve complex business problems.
  • Ability to translate healthcare operational questions into meaningful KPIs, dashboards, and actionable business insights.
  • Excellent communication and facilitation skills with the ability to lead discovery discussions, ask insightful questions, and translate business objectives into analytical solutions.

Nice to Haves

  • Exposure to healthcare reimbursement support analytics, wage index analysis, or healthcare price transparency initiatives.
  • Understanding of healthcare revenue cycle operations including billing, collections, denials, underpayments, and contract performance.
  • Experience working in an accounting firm or with accounting software
  • Familiarity with prompt engineering techniques to leverage LLMs

Education & Experience

  • Bachelor’s degree in Data Analytics, Computer Science, Finance, or a related field or equivalent experience.
  • 3+ years in data analytics, business intelligence, or healthcare consulting.
  • Experience working in an agile environment with a desire to learn and adopt emerging technologies.


We are responsive. We are caring. We are advocates.


Blue & Co., LLC, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category.

Candidates must be authorized to work in the U.S. without current or future employer sponsorship.

Agency candidates will not be considered for this position.


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