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Remote Data Analytics Project Manager Jobs in Maywood, IL

We unite data scientists, media buyers, copywriters, technologists, developers, consultants, coders ... This will be a hybrid role, requiring both in-office and remote work. GENERAL RESPONSIBILITIES:

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

... and analytics teams to define data requirements and prioritize projects with the highest ROI ... Change Management and Best Practices * Document and refine data engineering change management ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

... and analytics teams to define data requirements and prioritize projects with the highest ROI ... Change Management and Best Practices * Document and refine data engineering change management ...

Senior Project Manager

Chicago, IL · On-site +1

$85 - $100/hr

This is a contract role (30 - 40 hours a week), and is open to fully remote candidates in the ... If you would like more information about how your data is processed, please contact us.

Senior Project Manager

Chicago, IL · Remote

$85 - $100/hr

This is a contract role (30 - 40 hours a week), and is open to fully remote candidates in the ... If you would like more information about how your data is processed, please contact us. apply for ...

Summary / Objective The Project Manager is responsible for leading the successful delivery of ... markets or remote sites. * Familiarity with modular and prefabricated data center systems.

Showing results 21-40

Remote Data Analytics Project Manager information

See Maywood, IL salary details

$16

$56

$78

How much do remote data analytics project manager jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote data analytics project manager in Maywood, IL is $56.38, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.01 per hour, depending on experience, location, and employer.

What is a remote data analytics project manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

How does a remote data analytics project manager effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

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

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

What is the difference between Remote Data Analytics Project Manager vs Data Analyst?

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What job categories do people searching Remote Data Analytics Project Manager jobs in Maywood, IL look for?

The top searched job categories for Remote Data Analytics Project Manager jobs in Maywood, IL are:

What cities near Maywood, IL are hiring for Remote Data Analytics Project Manager jobs?

Cities near Maywood, IL with the most Remote Data Analytics Project Manager job openings:

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 4 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

120th of 1,061 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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