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Afternoon Data Analyst R Programming Jobs in Indiana

Indiana University

Data Analyst

Indianapolis, IN · On-site

Applies appropriate programming languages such as Python, Java. * Develops decision support tools ... Documents data analysis efforts (data sources, reporting specifications, tools, issue/problem ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Solutions are designed by operators who understand the mission, engineered for the conditions that ... Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter ...

Lyntris

Senior Data Analyst

Bloomington, IN · On-site

$75K - $94K/yr

Solutions are designed by operators who understand the mission, engineered for the conditions that ... S enior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject ...

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Required : • 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 ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

CYNET SYSTEMS

Data Analyst

Columbus, IN · On-site

$32 - $37/hr

... data validation and analysis. * Support initiatives to reduce manual Excel-based processes and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

The role requires collaboration with other analysts, data engineers, data product managers, and ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

CYNET SYSTEMS

Data Analyst

Indianapolis, IN · On-site

$27 - $32/hr

Strong understanding of the fundamentals of databases and data structures including tables ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Varsity Tutors

Data Science Tutor

West Lafayette, IN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Indiana

Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Indiana?

The most popular types of Data Analyst R Programming jobs in Indiana are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Indiana?

For Afternoon Data Analyst R Programming jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Indiana look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Indiana are:

What cities in Indiana are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Indiana with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Indiana as of June 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Data Analyst

Indianapolis, IN • On-site

Indiana University
See more jobs at Indiana Universityexternal

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 8 days ago

Job description

The Indiana University (IU) School of Dentistry has been advancing oral health in the state and beyond since 1879, when it was founded as the Indiana Dental College. Over the past 140 years, we've become a national leader in preparing oral health professionals, conducting innovative research that has an impact on patients and the profession, and providing patient-centered care.
The Office of Dental Informatics and Digital Health (ODIDH) provides comprehensive clinical IT support and leads digital transformation initiatives at the Indiana University School of Dentistry. The office supports faculty, staff, and students through technology implementation, data-driven research support, and ensuring compliance with patient privacy and Institutional Review Board (IRB) protocols. The mission of ODIDH is to advance dental education, research, and patient care by leveraging accurate data, innovative informatics solutions, and collaborative expertise to improve oral health outcomes and quality of life.
Job Summary
Department-Specific Responsibilities
  • Determines data needs for the research mission by meeting with faculty, students, and staff.
  • Queries appropriate databases to generate data sets and retrieve relevant information needed for research purposes that are in compliance with appropriate IRB and Health Insurance Portability and Accountability Act (HIPAA) requirements.
  • Develops and applies all aspects of the use of natural-language processing (NLP) in software.
  • Develops and applies algorithms on data in NLP areas.
  • Performs research and development of NLP software tools.
  • Codes, tests, and debugs multifaceted and complex software for NLP projects.
  • Processes data requests from clinical, educational, and administrative systems for research, education, and patient care purposes.
  • Transfers datasets to secure portals and monitors its appropriate use by faculty, students, and staff.
  • Develops and shares data reports and charts through Tableau visualization and other programs.
  • Performs data mining using tools such as Structured Query Language (SQL) and Microsoft Access connected to databases such as Oracle, SQL Server, and My SQL. Applies appropriate programming languages such as Python, Java.
  • Develops decision support tools, integrates the tool with electronic health record systems, and implements them in real world settings.
  • Responsible for the day-to-day management of research data of the dental informatics core.
  • Writes technical documentation and conducts training on software implemented/ developed.
  • Performs needs analysis and requirements specification and identifies commercial applications that can meet the school's needs in research.
General Responsibilities
  • Provides experienced analysis of existing data and data structures and satisfies ad-hoc reporting/analysis requests.
  • Creates reporting specifications for new reports/dashboards/analytical tools and performs testing/validation; ensures integrity, accessibility, and accuracy of reports/dashboards and data structures; reviews and approves user requests for access to reporting data and tools.
  • Consults with faculty and/or staff to identify new business reporting needs and provides guidance and interpretation of complex environments and data.
  • Documents data analysis efforts (data sources, reporting specifications, tools, issue/problem resolutions).
  • Performs experienced analysis to interpret and determine validity and quality of data.
  • Performs migration and conversion of data as needed in support of analysis efforts.
  • Researches and stays up-to-date on emerging technologies and tools and makes recommendations for implementation to improve data analysis services and approaches.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or a related field)
WORK EXPERIENCE
Required
  • 2 years of data analysis, reporting, or related experience
SKILLS
Required
  • Proficient communication skills
  • Maintains a high degree of professionalism
  • Demonstrates time management and priority setting skills
  • Demonstrates a high commitment to quality
  • Possesses flexibility to work in a fast paced, dynamic environment
  • Seeks to acquire knowledge in area of specialty
  • Highly thorough and dependable
  • Demonstrates a high level of accuracy, even under pressure
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
IU School of Dentistry
Indianapolis, Indiana
This is an in-person position.
Advertised Salary
$65,000.00 - 68,000.00 per year based on experience and internal equity
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Career
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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