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Data Analyst Ai Jobs in Indiana (NOW HIRING)

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 ...

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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 ...

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 ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

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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.

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.

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 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.

What does a data analyst do in AI?

A data analyst in AI collects, cleans, and analyzes large datasets to identify patterns and insights that improve machine learning models and AI systems. They often use tools like Python, R, or SQL and work closely with data scientists to support model development and validation.

Do data analysts work with AI?

Data analysts often work with AI by analyzing data used to train machine learning models, developing insights, and creating reports that support AI projects. They may also use tools like Python, R, or SQL to process large datasets and collaborate with data scientists and AI engineers. Understanding AI concepts can enhance their ability to interpret and leverage AI-driven insights.
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 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:
Infographic showing various Data Analyst Ai job openings in Indiana as of July 2026, with employment types broken down into 47% Full Time, and 53% Contract. Highlights an 100% In-person job distribution.

$40K - $45K/yr

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Job description

Job Description Jr. Data Analyst Location: Onsite - Indianapolis, IN Pay: Up to $45K Direct Hire Pinnacle Partners is assisting our client in their search for a Jr. Data Analyst to join their growing data team in the Indianapolis, IN area.

This person will support the company's transition from manual to automated reporting by cleansing and validating data that has been extracted from their ERP system into SQL Server. RESPONSIBILITIES: Transcribe information from paper forms, PDFs, or audio files into spreadsheets, databases, and core software systems Cross-check entered data against source documents to detect and correct typos, missing values, or duplicate entries Generate basic summaries, lists, and tables using MS Excel, Power BI, or AI assistants like Claude Maintain strict confidentiality when handling sensitive customer records, financial data, and proprietary company files Promptly report major source document discrepancies or system bugs to managers and team leaders REQUIREMENTS: Bachelor's degree Strong experience moving and sorting data within MS Excel Ability and willingness to sift through data, find errors, and follow steps to repair and cleanse data errors PREFERRED SKILLS: Experience with SQL and a visualization tool like Power BI Experience with pivot tables and VLOOKUPs TERMS: This is a direct hire opportunity with a salary up to $45K based on experience. They offer benefits including full medical, dental, and vision along with 401K, HSA/FSA and other benefits.