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Remote Predictive Analytics Jobs in Campus, IL (NOW HIRING)

Possible consideration of a request for a fully remote work schedule, subject to approval and ... analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets ...

Possible consideration of a request for a fully remote work schedule, subject to approval and ... analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets ...

Possible consideration of a request for a fully remote work schedule, subject to approval and ... analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets ...

Remote Predictive Analytics information

See Campus, IL salary details

$81.4K

$123.9K

$166.7K

How much do remote predictive analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for remote predictive analytics in Campus, IL is $123,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $139,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Predictive Analytics professional, and why are they important?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

How do remote predictive analytics professionals typically collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.

What are remote predictive analytics jobs?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

Is a data analyst dead in 10 years?

A data analyst role is expected to evolve rather than disappear in the next decade, as demand for data-driven decision-making continues to grow. Skills in statistical analysis, data visualization, and tools like SQL and Excel will remain valuable, though automation and advanced analytics may shift some tasks to data scientists or machine learning specialists.
What cities near Campus, IL are hiring for Remote Predictive Analytics jobs? Cities near Campus, IL with the most Remote Predictive Analytics job openings:
Research Associate

Research Associate

University of Utah

Campus, IL • On-site, Remote

Full-time

Retirement

Posted 26 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

327th of 528 rated colleges and universities


Job description

Details
Open Date 03/12/2026 Requisition Number PRN44458B Job Title Research Associate Working Title Research Associate Career Progression Track A00 Track Level FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
Employees must reside in the state of Utah but might have the opportunity to work a hybrid (in-office and remote) work schedule. Possible consideration of a request for a fully remote work schedule, subject to approval and change.
VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 50000 to 100000 Close Date 06/12/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a highly motivated Research Associate to join its staff. This individual will work both independently and assist researchers in the fields of epidemiology, health systems research, and musculoskeletal health using, but not limited to epidemiologic and mixed-method research, policy and program evaluation, and leadership. This position will work with the Trajectories of Resilience, Communities, and Health (TORCH) Lab, located on the University of Utah campus and at the Salt Lake City Veterans Affairs campus to understand the musculoskeletal sequalae after both military exposures and sport and recreation, including traumatic brain injuries, and evaluate musculoskeletal and orthopaedic based clinical programs. 
Responsibilities
The specific job responsibilities may include but are not limited to the following:
  1.  Participates in study design development, and other research as needed within the TORCH program or department.
  2. Manages data and writes procedures/code in applicable programs such as R, RStudio, Excel, etc.
  3. Construct methods and procedures for collecting data:
    1. Collects data using multiple methods, including primary sources such as interviews, focus groups, and surveys.
    2. Examines large-scale secondary datasets (such as from survey collections, or other medical data), as relevant. In addition, may review patient charts, death certificates, other health information documents to obtain and verify data.
  4. Formats data for statistical analysis.
  5. Oversees and conducts qualitative & quantitative analyses:
    1. Employs methods to identify a priori and emergent themes in data, develops code books, conducts inter-rater reliability and other qualitative methods as necessary.
    2. Employs methods of descriptive statistics, including sample comparisons, and analytic methods including regression analysis, survival analysis, mixed effects models, multivariable analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets results.
    3. Makes recommendations to respective Principal Investigator (PI) as to preferable methods of analysis and research formats for proposed projects, may act as PI in some projects.
  6. Manages research projects from start to finish, including overseeing regulatory responsibilities such as IRBs. 
  7. Writes project reports, research proposals, grants, and manuscripts.
    1. Directs preparation of manuscripts and presentation materials.
  8. Trains and mentors' other staff in data collection and analytic methods.
  9. Travels to a variety of sites within and outside the University to coordinate research projects, and acts as a University representative for a specialty area when contacting other departments and outside organizations.
Minimum Qualifications Preferences
Demonstrates excellent verbal communication skills and personal sensitivity, including the ability to talk with people from various backgrounds.
Expertise in theory, and research related to educational leadership and/or policy.
Type Benefited Staff Special Instructions Summary Additional Information

The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.


Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.


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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850