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Data Analyst Ai Jobs in Indiana (NOW HIRING)

RADcube

Data Analyst

Indianapolis, IN · On-site

$75 - $110/hr

Advanced Data Analytics and AI-driven platforms. Cybersecurity and risk management. Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions ...

New

PinnaclePartners

Jr Data Analyst

Indianapolis, IN · On-site

$40K - $45K/yr

Jr. Data Analyst Location: Onsite - Indianapolis, IN Pay: Up to $45K Direct Hire Pinnacle Partners ... or AI assistants like Claude Maintain strict confidentiality when handling sensitive customer ...

RR

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

POSITION PURPOSE Working alongside experienced data engineers, analysts, investigators, and ... Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure. * Assist ...

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 ...

Munich Re

Data and AI Enterprise Architect

Carmel, IN · On-site

Enterprise Architects provide technical leadership across analysis, design, facilitation, and execution , supporting the evolution of enterprise Data, Analytics, and AI capabilities and the ...

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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

RADcube

Indianapolis, IN • On-site

$75 - $110/hr

Other

Posted yesterday

New

Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job DescriptionData Analyst

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Key Responsibilities
  • Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making
  • Build and maintain reports, dashboards, and visualizations for pharma business stakeholders
  • Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables
  • Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines
  • Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs
  • Present findings and recommendations to both technical and non-technical audiences
  • Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs
  • Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis
Requirements

Required Qualifications

  • 3–5 years of data analysis / business intelligence experience specifically within the pharma industry
  • Working knowledge of Databricks for querying and analyzing data
  • Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context
  • Comfortable working with Big Data and datasets processed through Apache Spark
  • Strong SQL skills; experience with Python for data analysis is a plus
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills, with demonstrated ability to present data to business stakeholders
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience
Preferred Qualifications

Preferred Qualifications

  • Experience with BI/visualization tools
  • Exposure to Delta Lake, Snowflake, or similar modern data platforms
  • Prior experience supporting pharma commercial, clinical, or R&D reporting functions
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