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Online Data Research Jobs in Indiana (NOW HIRING)

Indiana University

Research Technician

Indianapolis, IN · On-site

$17.25 - $23.75/hr

Keeps organized analytical data of performed experiments. * Provides support for equipment ... online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by ...

Varsity Tutors

AP Research Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... online AP Research tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... design, data collection and analysis, academic writing conventions, and oral presentation ...

Varsity Tutors

AP Research Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... online AP Research tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... design, data collection and analysis, academic writing conventions, and oral presentation ...

Varsity Tutors

AP Research Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... online AP Research tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... design, data collection and analysis, academic writing conventions, and oral presentation ...

Varsity Tutors

AP Research Tutor

Bloomington, IN · Remote

$18 - $40/hr

... online AP Research tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... design, data collection and analysis, academic writing conventions, and oral presentation ...

Varsity Tutors

AP Research Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... online AP Research tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... design, data collection and analysis, academic writing conventions, and oral presentation ...

Indiana University

Research Technician

Indianapolis, IN · On-site

$17.25 - $23.75/hr

Keeps organized analytical data of performed experiments. * Provides support for equipment ... online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by ...

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Online Data Research information

What is an online data research?

An Online Data Research job involves gathering, analyzing, and interpreting information from various online sources. Professionals in this role use search engines, databases, and digital tools to collect relevant data for businesses, researchers, or marketing teams. Their work often includes verifying data accuracy, identifying trends, and compiling reports. Strong analytical skills, attention to detail, and proficiency in online research methods are essential for success in this role.

What are the typical daily responsibilities of someone working in online data research?

In an Online Data Research role, your daily activities may include searching for and gathering information from online databases, websites, and public records, then compiling, organizing, and validating that data for accuracy. You’ll often use spreadsheets, research platforms, or custom tools to analyze data trends and create reports for your team or stakeholders. Collaboration with project managers or other researchers to clarify data requirements or resolve discrepancies is also common. This work may be done independently or as part of a remote team, depending on the company structure.

What are the key skills and qualifications needed to thrive in online data research, and why are they important?

To thrive in Online Data Research, you should possess strong analytical skills, attention to detail, and proficiency in gathering and interpreting data from various online sources, typically requiring at least a bachelor’s degree in a related field. Familiarity with data analysis tools like Microsoft Excel, Google Sheets, web scraping software, or databases—and certifications such as Google Data Analytics—can be advantageous. Excellent organizational abilities, effective written communication, and self-motivation are key soft skills for this role. These skills are crucial because they help ensure high-quality, accurate research results and effective collaboration in a remote or digital work environment.

How do I become an online data researcher?

To become an online data researcher, you typically need strong research skills, proficiency with online search tools, and familiarity with data analysis. A background in fields like information science, computer science, or related areas can be helpful, and some roles may require knowledge of data management software or basic coding skills. Building a portfolio of research projects and gaining experience through internships or freelance work can also improve job prospects.

What are the most commonly searched types of Data Research jobs in Indiana?

The most popular types of Data Research jobs in Indiana are:

What are popular job titles related to Online Data Research jobs in Indiana?

For Online Data Research jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Online Data Research jobs in Indiana look for?

The top searched job categories for Online Data Research jobs in Indiana are:

What cities in Indiana are hiring for Online Data Research jobs?

Cities in Indiana with the most Online Data Research job openings:

Online Data Research jobs near you
Infographic showing various Online Data Research 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.

Assistant Research Professor, Lucy Family Institute for Data & Society

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Re-posted 8 hours ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

336th of 625 rated colleges and universities

Job description

Description
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non tenure-track). We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML. The faculty member will be part of a new digital engagement for learning analytics research group within Lucy. As such, research experience with digital engagement measurement, online gaming analytics, and AI-enabled policy impact analysis will be beneficial. Given the policy-oriented learning translation analytics aspect of some of the research, ideal candidates will also have a robust track record of teaching excellence demonstrated through multiple years and sections of lead-instructor course delivery (with high teaching evaluations). The research faculty will be working closely with Professors Ahmed Abbasi (Director of the Institute), Rick Johnson (Associate Director of the Institute), and Sugana Chawla (Data Science Education Program Director).
The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications.
Expectations
  • Help establish a research program for robust measurement and causal inference in digital settings including but not limited to online video games.
  • Publish in top venues, and/or pipeline evidence such as revise-and-resubmits at top academic journals (e.g., UTD-24, Economics, Science/Nature/PNAS, etc.);
  • Pursue interdisciplinary research by building collaborations;
  • Mentor or co-mentor graduate and undergraduate students;
  • Lead and collaborate on research grants;
  • Teach / co-teach courses on related topics;

Qualifications
  • Requires a PhD in with methodological expertise in causal inference via econometric modeling, machine learning, analysis of digital trace and survey data, and experiment design.
  • Research experience (projects, papers) related to digital engagement, online gaming telemetry data, and analysis of policy impact and implications, with a track record of experience beyond doctoral studies in the domain.
  • Strong demonstrated teaching skills.

Application Instructions
Please submit a CV, a research statement, teaching statement, and three confidential letters of recommendation via Interfolio.

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