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Remote Data Analytics Intern Jobs in Mount Prospect, IL

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Remote Data Analytics Intern information

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How much do remote data analytics intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data analytics intern in Mount Prospect, IL is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What does a remote data analytics intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What are the key skills and qualifications needed to thrive as a remote data analytics intern, and why are they important?

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by remote data analytics interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are popular job titles related to Remote Data Analytics Intern jobs in Mount Prospect, IL?

For Remote Data Analytics Intern jobs in Mount Prospect, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Intern jobs in Mount Prospect, IL look for?

The top searched job categories for Remote Data Analytics Intern jobs in Mount Prospect, IL are:

What cities near Mount Prospect, IL are hiring for Remote Data Analytics Intern jobs?

Cities near Mount Prospect, IL with the most Remote Data Analytics Intern job openings:

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 17 days ago


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

117th of 1,065 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: System Pharmacy

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $41.88 - $62.40 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Are you passionate about using data to improve patient care, medication safety, and pharmacy operations? Rush University Medical Center is seeking a Medication and Pharmacy Data Analytics Specialist to help transform complex healthcare data into actionable insights that drive clinical, operational, and strategic decision-making across our growing pharmacy enterprise. 

In this highly collaborative role, you will serve as a key partner between Pharmacy Operations, Pharmacy Informatics, Knowledge Management, and Information Technology teams, leveraging data to optimize medication-use processes, improve clinical workflows, and support enterprise-wide pharmacy initiatives. You will design and develop analytics solutions, build and maintain data integrations, create dashboards and reports, and uncover meaningful trends that help improve patient outcomes and operational performance. 

This position is ideal for a data professional who enjoys solving complex problems, working directly with stakeholders, and translating data into compelling stories and actionable recommendations. You'll have the opportunity to work with leading healthcare technologies, electronic health records, pharmacy systems, and advanced analytics tools while helping shape the future of pharmacy services at a nationally recognized academic health system. 

The ideal candidate combines strong technical expertise in healthcare analytics, data management, and reporting with a passion for collaboration, innovation, and continuous improvement. Experience with healthcare data, pharmacy operations, Epic, SQL, Tableau, and data warehousing environments will position you for success in this role. 

Join Rush and play a critical role in advancing data-driven pharmacy care, improving medication safety, and supporting innovative healthcare solutions that make a meaningful difference for patients and providers every day. The identified candidate exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Responsibilities:
Collaborative Problem Solving

  • Produces deliverables for leadership and communicates with all levels of stakeholders.
  • Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data.

Pharmacy Informatics

  • Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies.
  • Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making.

Data Management and Integration

  • Gather business and data requirements from stakeholders.
  • Captures, develops, and documents data definitions, business rules, and data quality requirements.
  • Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions).
  • Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making.

Data Analysis and Reporting

  • Conducts data analysis in support of a variety of analytic solutions.
  • Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership.
  • Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.

Systems Development and Automation

  • Identifies and defines both process and data improvements.
  • Build and maintain systems to process, integrate, and transform data into robust analytics.
  • Create algorithms or models to predict medication utilization.
  • Work with software developers to integrate data solutions into existing healthcare platforms.

Stakeholder, Regulatory and Clinical Support

  • Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Ensure data accuracy, security, and compliance with regulations.
  • Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives.

Required Job Qualifications:

  • Education: Bachelor’s degree in information science, computer science or related field.
  • Experience: 3 years of data analysis, query design, and reporting experience.
  • Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle.
  • Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment.
  • Strong analytical, multi-tasking and problem-solving skills.
  • Demonstrated experience in requirements gathering and using relational databases.
  • Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
  • Good visual aesthetic sense relative to report development and presentation to the user.
  • Excellent written and verbal communication, facilitation, and customer facing skills
  • Must have a strong customer service orientation and excellent organizational skills.

Preferred Job Qualifications:

  • Experience: Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner).
  • Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification.
  • Microsoft SQL Server, Oracle, T-SQL; PL/SQL.
  • Familiarity with ERP information systems.
  • Familiarity with EMR information systems.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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