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Remote Data Analyst Jobs in Chicago, IL (NOW HIRING)

Integrate multiple data sources, including precision agriculture tools (e.g., remote sensing, field sensors), into cohesive analytical outputs * Develop dashboards and reporting solutions using BI ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... Remote RRD is an Equal Opportunity Employer, including disability/veterans At RRD, we value ...

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... Remote RRD is an Equal Opportunity Employer, including disability/veterans At RRD, we value ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... analytical experience Benefits: * Competitive salary and benefits package * Flexible, remote work

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... analytical experience Benefits: * Competitive salary and benefits package * Flexible, remote work

Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.

Showing results 41-60

Remote Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Chicago, IL? The most popular types of Data Analyst jobs in Chicago, IL are:
What job categories do people searching Remote Data Analyst jobs in Chicago, IL look for? The top searched job categories for Remote Data Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Data Analyst jobs? Cities near Chicago, IL with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Agronomy & Sustainability Analyst

''

Oakbrook Terrace, IL • On-site, Remote

$58K - $78K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Position Title: Agronomy & Sustainability Analyst

Position Type: Regular - Full-Time

Grade:Grade 04

Requisition ID:43272

In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.

About the role.
The Agronomy & Sustainability Data Analyst plays a critical role in advancing McCain's data and analytics strategy across North American agronomy and sustainability initiatives. Supporting over 300 potato growers across multiple U.S. states and Canadian provinces, this role is responsible for transforming complex agricultural and operational data into actionable insights that drive yield, quality, carbon reduction, and regenerative agriculture outcomes.

This position combines strong technical data expertise with applied agronomic understanding, focusing on standardizing and accelerating data collection, analytics, and insight delivery. The role reports to the Director of Agronomy and offers flexibility to be based at any of our plant locations or corporate offices within North America.

What you'll be doing.

  • Lead the development and execution of a robust agronomy and sustainability analytics strategy

  • Design and deliver analytics that inform agronomic decisions, grower practices, and internal business planning

  • Standardize and enhance data collection, management, validation, and governance processes

  • Build and maintain scalable data pipelines and modern data environments (e.g., cloud platforms, APIs)

  • Analyze agricultural, supply chain, and operational datasets to uncover actionable insights

  • Apply predictive, prescriptive, and AI-driven analytics to improve decision-making and efficiency

  • Integrate multiple data sources, including precision agriculture tools (e.g., remote sensing, field sensors), into cohesive analytical outputs

  • Develop dashboards and reporting solutions using BI tools such as Power BI or Tableau

  • Translate complex analytical outputs into clear, practical insights for agronomy, field, and business stakeholders

  • Collaborate cross-functionally to drive adoption of data tools, analytics, and AI-enabled workflows

What you'll need to be successful.

  • Bachelor's or Master's degree in data analytics, statistics, computer science, agriculture, or a related field

  • Minimum of 3 years of experience delivering advanced analytics solutions in agriculture, supply chain, or a similar operational environment

  • Proven ability to lead projects that combine business process transformation with advanced analytics

  • Strong proficiency in Python, R, SQL, and modern BI tools (e.g., Power BI, Tableau)

  • Experience working with modern data ecosystems, including cloud-based platforms, APIs, and automated pipelines

  • Knowledge of data governance, data quality standards, and validation practices

  • Experience applying AI, predictive modeling, or advanced analytics techniques to business problems

  • Familiarity with precision agriculture data sources (e.g., remote sensing, IoT sensors, field systems)

  • Strong communication skills with the ability to translate technical insights into actionable business recommendations

  • Ability to collaborate effectively across teams and influence stakeholders at multiple levels

  • Willingness to travel up to 25% as required

About the team.
The North American Agronomy & Sustainability Team supports a network of 300+ growers across 7 U.S. states and Canadian provinces. The team focuses on research, field and storage extension, and sustainability initiatives that drive yield improvement, quality enhancement, carbon reduction, and regenerative agriculture expansion. This role serves as the analytics leader within the team, enabling data-driven decision-making and advancing digital and AI capabilities.

About McCain.
Click Here to learn more about McCain and how we provide opportunities to make an impact that matters.

Leadership principles.
At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results.

The McCain experience.

We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you'll find opportunities to learn, grow, and thrive. Join us and experience why we're better together.

Compensation Package:$58,800.00 - $78,500.00 . USD annually + Bonus eligibility

The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy.

Benefits: At McCain, we're on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person's needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well-being programsinclude vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned with applicable law and can vary by work level, location, and nature of the role. Additional benefit detail available during the application process.

Your well-being matters to us, and we're here to provide you with the necessary resourcesto support you in being your best self at work - and at home.

McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), pleaselet us know and we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policyand Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family:Agriculture
Location(s): US - United States of America : Illinois : Oakbrook Terrace || US - United States of America : Idaho : Burley || US - United States of America : Maine : Easton || US - United States of America : Washington : Othello || US - United States of America : Wisconsin : Plover

Company:McCain Foods USA, Inc.

Employment Type: OTHER