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

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

The person in this role will work to help drive our predictive analytics business by building out ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Senior Incident Management Practice Engineer

Chicago, IL ยท On-site +1

$118K - $161K/yr

... predictive analytics into the incident lifecycle. This includes implementing intelligent alert ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Chicago, IL ยท On-site +1

$118K - $161K/yr

... predictive analytics into the incident lifecycle. This includes implementing intelligent alert ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Chicago, IL ยท On-site +1

$118K - $161K/yr

... predictive analytics into the incident lifecycle. This includes implementing intelligent alert ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ... Remote in USA Only. We cannot consider candidates from New York, California, or Washington state ...

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Showing results 1-20

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 Aug 4, 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 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.

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.

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:

Analyst 2, Data Analytics & Business Intelligence

Comcast

Schaumburg, IL โ€ข On-site, Remote

Full-time

Posted 12 days ago


Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.

Job Description

This position is an in-office role 4 days a week and 1 day remote.

Responsibilities:

AI-Driven Forecasting & Planning

  • Lead the development and implementation of AI-enabled forecasting solutions.
  • Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
  • Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
  • Drive automation of forecast updates, assumptions management, variance analysis, and reporting.

Budget & Financial Performance Optimization

  • Modernize budget development and forecasting processes through automation and AI.
  • Develop intelligent models that identify risks, opportunities, and performance drivers.
  • Create automated budget allocation and investment optimization frameworks.
  • Support long-range planning through advanced business and financial modeling.
  • Improve planning cycle speed while enhancing transparency and accountability.

Performance Management Transformation

  • Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
  • Create automated scorecard generation and target-setting processes.
  • Develop predictive performance indicators to proactively identify areas requiring intervention.
  • Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
  • Design frameworks that connect operational metrics, incentive programs, and financial outcomes.

Process Automation & Efficiency

  • Evaluate and redesign complex business processes to eliminate manual activities.
  • Deploy AI agents, workflow automation, and self-service analytics solutions.
  • Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
  • Standardize tools, methodologies, and operating procedures.
  • Establish measurable efficiency targets and track realized value.

Advanced Analytics & Modeling

  • Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
  • Create simulations and sensitivity analyses to evaluate business opportunities and risks.
  • Translate complex analytics into executive-ready recommendations.

Strategic Leadership

  • Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
  • Collaborating with business leaders to discern data requirements and crafting technical specifications for analytics
  • Evaluating data relevance, sourcing alternatives, and ensuring robust analytics for stakeholder inquiries
  • Employing self-service tools to analyze complex datasets, extracting actionable business insights
  • Querying diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis
  • Merging datasets from varied sources to support thorough business analysis
  • Conducting exploratory data analysis, hypothesis testing, and pinpointing key business drivers
  • Developing predictive models for sales, demand, and other vital business metrics
  • Assessing campaign outcomes, measuring effectiveness, and pinpointing enhancement opportunities
  • Ensuring compliance with data governance policies and standards across analytics practices
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Skills

Actionable Insights, Analytics, Business Operations, Data Forecasting

Compensation

This job can be performed in Colorado, Illinois, and Minnesota with a Pay Range of $66,115.55 - $109,090.66Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.