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Data Analyst Data Science Jobs in Indiana (NOW HIRING)

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 ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

West Lafayette Job Summary College of Science | Purdue University | West Lafayette, Indiana The College of Science is seeking a detail-oriented and collaborative Data Analyst to support data-informed ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

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Data Analyst Data Science information

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 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 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 are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.
What are popular job titles related to Data Analyst Data Science jobs in Indiana? For Data Analyst Data Science jobs in Indiana, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst (Geospatial Analyst), Pediatrics Health Services Research

Data Analyst (Geospatial Analyst), Pediatrics Health Services Research

Indiana University

Indianapolis, IN • On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
Indiana University is seeking a Data Analyst (Geospatial Analyst) to support their Pediatrics Health Services Research. The role involves managing and analyzing data, ensuring data quality, and developing geospatial indicators and visualizations to inform community health initiatives.
Responsibilities:
• Develop, manage, and maintain data related to projects noted above.
• Responsible for data integration from various data systems to assess data quality and feasibility for specific data-related projects and proposals.
• Curate analytic data sets for these projects/proposals.
• Address data quality issues through data cleaning techniques and creative approaches to data management.
• Effectively organize the data while maintaining scrupulous documentation on meta-data and processes.
• Geocode/geoaggregate/geotag data as needed.
• Develop data visualization deliverables including community dashboards.
• Organizing, storing and analyzing data as efficiently as possible, while always upholding agreed-upon security standards.
• Perform geocoding, geoaggregation, and geotagging of records to spatially enable data.
• Develop geospatial indicators related to residential mobility, health and social disparities, and contextual place-based metrics.
Qualifications:
Required:
• Master's degree in Public Health, Information Science, Urban Planning, or related scientific field
• 4 years experience as a Data Analyst, Data Scientist, GIS Analyst or related occupation
• 24 months conducting spatial data analysis, including geocoding, geoaggregation, and spatial enablement of datasets to support the development of neighborhood-level indicators and contextual place-based metrics
• 18 months integrating and managing large public or administrative datasets to support programmatic research, data quality assessment, and longitudinal analysis
• 12 months designing and delivering community-facing data visualizations, dashboards, and reports for diverse stakeholders, including public agencies and nonprofit partners
• 6 months supporting reproducible workflows and metadata documentation for spatial and social determinant datasets in interdisciplinary research settings
• Ability to effectively communicate
• Ability to operate a computer and other standard office productivity equipment
• Ability to perform sedentary work as well as periods of time moving around an office environment and the campus
• Ability to perform the essential functions with or without an accommodation
Company:
Indiana University looked for ways to promote innovation while assisting students in building better futures. Founded in 1820, the company is headquartered in Bloomington, USA, with a team of 10001+ employees. The company is currently Late Stage.