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

Proximie

Data Integration Engineer, EHR

Chicago, IL · On-site +1

... predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners are in the OR, our Surgical Suite enables real-time remote ...

DW Simpson

Consulting Actuary - Remote

Chicago, IL · Remote

$135/hr

In this role, you will partner with analysts & data scientists to scope & execute actuarial ... Must be familiar with predictive modeling, have strong communication, and be comfortable learning ...

DW Simpson

Consulting Actuary - Remote

Chicago, IL · Remote

$135/hr

In this role, you will partner with analysts & data scientists to scope & execute actuarial ... Must be familiar with predictive modeling, have strong communication, and be comfortable learning ...

Fusion92

Director, Growth

Chicago, IL · On-site +1

If you're curious and looking for a remote-flexible, integrated team where you can fearlessly ... predictive analytics. * Knowledge of market research, competitive analysis, and customer ...

D.W. Simpson

Consulting Actuary - Remote

Chicago, IL · On-site +1

$135/hr

In this role, you will partner with analysts & data scientists to scope & execute actuarial ... Must be familiar with predictive modeling, have strong communication, and be comfortable learning ...

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Showing results 21-40

All JobsPredictive Analytics JobsRemote Predictive Analytics JobsRemote Predictive Analytics Jobs in Chicago, IL

Remote Predictive Analytics information

See Chicago, IL salary details

$86K

$130.9K

$176.2K

How much do remote predictive analytics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote predictive analytics in Chicago, IL is $130,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $147,800.00 per year, depending on experience, location, and employer.

What is remote predictive analytics?

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.

What skills and qualifications are needed for remote predictive analytics?

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 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 the most commonly searched types of Predictive Analytics jobs in Chicago, IL?

The most popular types of Predictive Analytics jobs in Chicago, IL are:

What are popular job titles related to Remote Predictive Analytics jobs in Chicago, IL?

For Remote Predictive Analytics jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Analytics jobs in Chicago, IL look for?

The top searched job categories for Remote Predictive Analytics jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Predictive Analytics jobs?

Cities near Chicago, IL with the most Remote Predictive Analytics job openings:

Remote Predictive Analytics jobs near you
Infographic showing various Remote Predictive Analytics job openings in Chicago, IL as of September 2026, with employment types broken down into 9% Internship, 79% Full Time, and 12% Part Time. Highlights an 100% Remote job distribution, with an average salary of $130,860 per year, or $62.9 per hour.

Data Integration Engineer, EHR

Chicago, IL • On-site, Remote

Proximie
See more jobs at Proximieexternal

Full-time

Posted 28 days ago

Job description

Proximie is on a mission to improve healthcare by transforming the world's operating rooms into connected ecosystems of people, devices, and data.
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events - improving quality of data outputs. The result: ORs are optimised like never before - with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce - improving outcomes and saving lives.
Proximie was commercialised in 2019 and is available in over 500 facilities globally. Check out our Founder and CEONadine's Origins Story here:https://www.proximie.com/about-us/
Position Overview
With hospitals and health systems around the world increasingly adopting Proximie's Surgical Suite and Intelligence Suite, we are seeking a skilled and agile Data Integration Engineer to spearhead the integration of our platform with customer Electronic Health Record (EHR) systems.
This is a pivotal, high-ownership role responsible for driving healthcare data integration across the US. You will be instrumental in enabling scalable, secure, and reliable data exchange between Proximie and its US partners, accelerating clinical insights, enhancing workflows, and delivering operational efficiency at scale.
The ideal candidate will bring deep expertise in healthcare data integration and industry standards (including HL7), with the ability to independently analyze and interpret complex data sets. Success in this position requires exceptional communication skills, technical leadership, and the agility to thrive in a fast-paced, global, and highly collaborative environment.
Key Responsibilities
  • Design, implement, and maintain HL7 interfaces (ADT, ORU, ORM, etc.) to support real-time and batch data exchange with customer EHR systems.

  • Rapidly stand-up file-based and HL7-based integrations to meet customer onboarding timelines and scalability needs.

  • Develop and manage ETL pipelines for transforming and validating clinical data from diverse sources.

  • Collaborate with customer IT teams to define integration requirements, troubleshoot issues, and ensure successful deployment.

  • Perform data analysis and validation to ensure completeness, accuracy, and consistency of exchanged data.

  • Work closely with internal product, engineering, and customer success teams to align integration efforts with platform capabilities and customer goals.

  • Document integration workflows, data mappings, and technical specifications for internal and external stakeholders.

Requirements
  • 3+ years of experience in healthcare data integration, preferably with EHR systems (Epic, Cerner, Meditech, etc.).

  • Strong hands-on experience with HL7 v2.x messaging standards and interface engines (e.g., Mirth Connect, Rhapsody, Cloverleaf).

  • Proficiency in ETL tools and scripting languages (e.g., Python, SQL) for data transformation and validation.

  • Familiarity with healthcare data standards (FHIR, CDA, CCD) and privacy regulations (HIPAA, GDPR).

  • Ability to analyze complex data sets and troubleshoot integration issues independently.

  • Excellent communication and collaboration skills, especially in customer-facing technical discussions.

  • Experience working in fast-paced, agile environments with cross-functional teams.

  • Experience integrating with cloud-based platforms and APIs is highly desirable.

  • Knowledge of surgical workflows and clinical documentation practices is highly desirable.

Nice to Haves
  • Familiarity with software engineering practices, including version control (e.g. Git), deployment processes, and release workflows - enabling effective collaboration with engineering teams and a smoother path from integration development to production.

Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.
Locations Chicago Remote status Fully Remote

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