1

Data Analyst Data Science Jobs in Indiana (NOW HIRING)

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a related field * 2-5 years of experience in data analysis, preferably in operations or business ...

As a Business Data Analyst on our Finance & Analytics team, you will turn data into clear, reliable insights that support decision-making across the organization. Working with business-line ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Develop statistical models, machine learning models, and advanced analyses using large-scale ... Hands‑on experience with Databricks for data science/ML workflows * Working knowledge of AWS data ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community. Your Work:

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related technical field. * Minimum of 5+ years of experience in systems engineering, logistics analysis, or ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Qualifications Education/Experience Requirements Bachelor of Science degree in a statistics ...

Showing results 41-60

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

Infographic showing various Data Analyst Data Science 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.

Operations Data Analyst

EHOB INC

Indianapolis, IN • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Summary

The Operations Data Analyst plays a critical role in driving operational efficiency and strategic decision-making through data analysis. This role is responsible for collecting, analyzing, and interpreting data related to business operations, identifying trends, and providing actionable insights to stakeholders across departments.


Essential Duties & Responsibilities
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Analyze operational data to identify trends, inefficiencies, and opportunities for improvement.

  • Utilize data visualization tools (e.g., Tableau, Power BI) to effectively communicate complex data in a simple, repeatable, and understandable manner. Translate complex data sets into clear, actionable insights for non-technical stakeholders.

  • Support forecasting, budgeting, and strategic planning efforts with data models and scenario analysis.

  • Ensure data integrity and consistency across systems and reports.

  • Compile Operations Demand Forecast for Supply Chain, Distribution Operations, and Manufacturing Operations.

  • Develop and maintain dashboards, reports, and KPIs to monitor performance across departments.

  • Automate recurring reports and streamline data workflows using tools like SQL, Excel, Power BI, or Tableau.

  • Assist in the implementation and optimization of ERP and other enterprise systems from a data perspective.

  • Perform ad-hoc analysis to answer specific business questions.

  • Lead or participate in data-driven projects, ensuring timely and accurate delivery of insights.

  • Other duties as assigned.

Education and/or Experience 

  • Bachelor’s degree with a concentration in Business, Mathematics, Statistics, Data Science, or a related field 

  • 2-5 years of experience in data analysis, preferably in operations or business intelligence.  

  • Proficiency in data visualization tools (Power BI, Tableau) and data querying languages (e.g. SQL) 

  • Strong Excel skills, including pivot tables, VLOOKUP, and advanced formulas 

  • Experience with Salesforce (or other CRM), SQL, Tableau, Traverse (or other ERP System) a plus 

  • Excellent problem—solving skills and attention to detail. 

  • Strong communication skills with the ability to present findings to diverse audiences.  

  • ** This role requires you to already live within daily commuting distance of Indianapolis. We do not offer relocation or remote work for this position. **

Other Skills 

  • Language skills:  Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints.  Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public group, and/or boards of directors. 

  • Mathematical skills:  Ability to work with mathematical concepts. 

  • Reasoning: Ability to define problems, collect data, establish facts and draw valid conclusions.  Ability to interpret an extensive variety of information. 

  • Cognitive Skills: Attention to detail, Analytical/strategic Thinking, Problem solving, Creativity 

  • Computer skills: Knowledge of Microsoft Office Suite, strong Excel skills 

Competencies 

  • Communication: Effectively communicate to internal and external business partners by sharing expertise to encourage accomplishment of shared business goals.   

  • Teamwork and Collaboration: Actively support and collaborate with peers and team members to contribute to overall company success.  

  • Knowledge: Display knowledge of department, applicable products, services and business objectives. Demonstrate a continuous learning mindset through continued professional and personal development.  

  • Accountability: Follow through with tasks and responsibilities in an appropriate and timely manner.  

  • Work Quality: Produces results, meets goals, and provides services that meets or exceeds EHOB’s standards.  

  • Adaptability: Readily and effectively adapts way of working, thinking and acting in response to changing workplace conditions, targets or goals.  

  • Attention to Detail: Ability to focus on the finer aspects of a task or problem, ensuring accuracy, precision, and thoroughness. 

  • Strategic Thinking: Demonstrate ability to understand a situation or obstacle from all perspectives. 

  • EHOB Ambassador: Reflect EHOB’s mission, vision and values.  

Work Environment 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts; risk of electrical shock; risk of radiation and vibration. The noise level in the work environment is usually moderate.  

EHOB does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status or military service.