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Advanced Imaging Data Analyst Jobs in Indiana (NOW HIRING)

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights * Manage and update databases to ensure they are secure, accessible, and ...

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

Advanced Microsoft Excel skills, including: * Pivot Tables * VLOOKUP/XLOOKUP * Data Validation * Reporting and Data Analysis * Formula Development * Experience with ADP, Workday, or other HRIS ...

New

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

Advanced Microsoft Excel skills, including: * Pivot Tables * VLOOKUP/XLOOKUP * Data Validation * Reporting and Data Analysis * Formula Development * Experience with ADP, Workday, or other HRIS ...

New

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All JobsAdvanced Imaging Data Analyst JobsAdvanced Imaging Data Analyst Jobs in Indiana

Advanced Imaging Data Analyst information

What are the key skills and qualifications needed to thrive as an advanced imaging data analyst?

To thrive as an Advanced Imaging Data Analyst, you need a strong background in data analysis, image processing, and a relevant degree in fields like computer science, biomedical engineering, or a related discipline. Proficiency with technical tools such as Python, MATLAB, specialized imaging software (e.g., ImageJ, ITK), and experience with machine learning or statistical analysis is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for extracting meaningful insights from imaging data, ensuring accurate results, and supporting scientific or clinical decision-making.

What are the typical challenges faced by an advanced imaging data analyst when working with large datasets, and how can they be addressed?

Advanced Imaging Data Analysts often encounter challenges such as managing extremely large and complex datasets, ensuring data integrity, and processing high volumes of images efficiently. To address these challenges, analysts commonly use specialized software tools and programming languages (like Python or MATLAB) to automate data cleaning and analysis. Collaborating closely with IT specialists and researchers is also essential to maintain robust data storage solutions and to interpret results accurately. Staying up to date with the latest imaging analysis techniques and computational methods can further help mitigate common obstacles in this role.

What is the difference between Advanced Imaging Data Analyst vs Medical Imaging Technician?

AspectAdvanced Imaging Data AnalystMedical Imaging Technician
CredentialsBachelor's degree in related field, certifications in imaging analysisCertification in radiologic technology, associate degree or certificate
Work EnvironmentResearch labs, healthcare facilities, data analysis settingsHospitals, clinics, diagnostic imaging centers
Employer & IndustryMedical research institutions, healthcare providers, biotech companiesHospitals, diagnostic imaging centers, outpatient clinics
Primary FocusAnalyzing imaging data, developing algorithms, supporting researchOperating imaging equipment, capturing diagnostic images

The Advanced Imaging Data Analyst primarily focuses on analyzing imaging data and supporting research efforts, often working in research or healthcare settings. In contrast, the Medical Imaging Technician operates imaging equipment to produce diagnostic images in clinical environments. While both roles require knowledge of imaging technology, the analyst emphasizes data interpretation and analysis, whereas the technician concentrates on image acquisition and patient positioning.

What is an advanced imaging data analyst?

Advanced Imaging Data Analysts are professionals who specialize in processing, analyzing, and interpreting complex imaging data—such as MRI, CT, or microscopy images—using advanced software tools and statistical techniques. They work in fields like healthcare, life sciences, and research to extract meaningful insights from imaging datasets. Their responsibilities may include managing large volumes of imaging data, developing image analysis algorithms, and collaborating with researchers or clinicians to support diagnostic or scientific goals.
What are popular job titles related to Advanced Imaging Data Analyst jobs in Indiana? For Advanced Imaging Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Advanced Imaging Data Analyst jobs in Indiana look for? The top searched job categories for Advanced Imaging Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Advanced Imaging Data Analyst jobs? Cities in Indiana with the most Advanced Imaging Data Analyst job openings:
Advanced Imaging Data Analyst jobs near you
Infographic showing various Advanced Imaging Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Program Evaluation & Data Analyst

National FFA Organization

Indianapolis, IN • On-site

Full-time

Posted 18 days ago

Job description

JOB SUMMARY:
The National FFA Organization is looking for an individual to join our team who can write, translate, and interpret data for diverse audiences and programs. The ideal candidate will be a forward-thinking collaborator with the ability to drive, develop, and execute comprehensive evaluation and assessment plans to support the educational programming and strategic priority areas within the National FFA Organization, which require an individual with a strong combination of analytical skills, intellectual curiosity, and reporting acumen. This role will be responsible for developing, designing, and implementing evaluation and assessment plans and protocols for programs throughout the organization. It involves creating methods to report measurable outcomes and developing actionable recommendations by extracting key insights from complex data sources, rooted in a thorough understanding of program objectives. The ideal candidate will facilitate a collaborative process in designing, coordinating, and implementing multiple evaluation and assessment processes that operate simultaneously with internal and external stakeholders. Additionally, the candidate will need to be able to produce a peer-reviewed literature search and incorporate findings to support research initiatives within the organization. The candidate will need to be comfortable working on multiple projects and will also be required to work across various divisions within the organization. Additionally, they must be willing to work in a growth-minded and collaborative team-focused environment.
Requirements
ESSENTIAL FUNCTIONS:
  • Demonstrate daily expertise in operating Excel and other advanced analytical software,
  • including Qualtrics, SPSS, and ESpatial. Possess the skills to translate and interpret data for
  • various purposes and audiences.
  • Effectively develop the ability to write and conduct peer reviews of written reports and other deliverables, successfully create reports, and present findings to small and large, various audiences and groups.
  • Structure, manipulate, and analyze extensive data sets to extract usable information
  • Develop and execute programmatic assessments and evaluations that produce measurable
  • outcomes for organizational programs.
  • Identify, evaluate and summarize peer-reviewed research articles to enhance programs and research initiatives.
  • Leverage prioritization, organization, time management, and multitasking abilities to ensure timely completion of deliverables. Prioritize, organize, use time management skills, and be adept at multitasking while working with a diverse group of internal and external stakeholders.
  • Actively assess workflows and identify opportunities to streamline team and individual processes to enhance efficiency. Serve as key contributor to internal documentation of team policies, practices, and procedures to support longevity and continuity.
  • Work independently and collaboratively while exhibiting a strong work ethic, positive attitude, and self-confidence, while being coachable.

EDUCATION:
  • A bachelor's degree is required, and a master's degree is preferred. Relevant course work in program evaluation, community-based research, and/or statistical analysis.

EXPERIENCE:
  • One to three years of relevant experience with data analysis.
  • Writing experience in a research or journalism-related field.
  • Proficient experience in statistical analysis and data management.

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