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Director Data Analyst Machine Learning Jobs in Indiana

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Experience in machine learning, predictive modeling, or statistical analysis. Knowledge of database ...

SOUL PROVIDER INC

Data Analyst

Westfield, IN · On-site

Experience in machine learning, predictive modeling, or statistical analysis * Experience with ... of data to business stakeholders * Microsoft Office (Outlook, Word, Excel, PowerPoint, Project ...

Cover Care

Data Analyst

Westfield, IN · On-site

Experience in machine learning, predictive modeling, or statistical analysis * Experience with ... of data to business stakeholders * Microsoft Office (Outlook, Word, Excel, PowerPoint, Project ...

Cover Care

Data Analyst

Westfield, IN · On-site

Experience in machine learning, predictive modeling, or statistical analysis * Experience with ... of data to business stakeholders * Microsoft Office (Outlook, Word, Excel, PowerPoint, Project ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Data Analyst Full Time Odon, IN, US 1 Attachments 8 days ago Requisition ID: 1085 Position Overview ... Support predictive modeling, statistical simulation, and machine learning initiatives * Help ...

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Preferred : • Experience in machine learning, predictive modeling, or statistical analysis. • ... Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in ...

Tickmill

Data Analyst - Poland

Warsaw, IN · On-site

Basic knowledge of machine learning concepts and their business applications. * Proficiency in Python or R for data analysis and automation. * Experience working with financial services, trading, or ...

DwyerOmega

Director, Data Engineering

Michigan City, IN · On-site

$165K/yr

We are seeking a visionary Director, Data Engineering to architect the "data set of the future ... Exposure to advanced analytics, data science, or machine learning initiatives. * Experience in ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Indiana

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Analyst

Indianapolis, IN • On-site

STI
See more jobs at STIexternal

Full-time

Re-posted 22 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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