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

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop enterprise data models, automate reporting processes, and deliver executive dashboards that provide ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

Showing results 21-40

Remote Data Analyst information

See Elmhurst, IL salary details

$33.9K

$82.3K

$135.5K

How much do remote data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data analyst in Elmhurst, IL is $82,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

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.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Elmhurst, IL?

The most popular types of Data Analyst jobs in Elmhurst, IL are:

What job categories do people searching Remote Data Analyst jobs in Elmhurst, IL look for?

The top searched job categories for Remote Data Analyst jobs in Elmhurst, IL are:

What cities near Elmhurst, IL are hiring for Remote Data Analyst jobs?

Cities near Elmhurst, IL with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Elmhurst, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $82,308 per year, or $39.6 per hour.

Senior Data Analyst - Gaming Analytics

Accel Entertainment

Burr Ridge, IL • On-site, Remote

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Accel Entertainment rating

6.7

Company rating: 6.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

191st of 281 rated repair and maintenance companies


Job description

About Us

Accel Entertainment, Inc. (NYSE: ACEL) is a growing provider of locals-focused gaming and one of the largest terminal operators in the United States, supporting more than 29,000 electronic gaming terminals in nearly 4,700 third-party local and regional establishments and 20 self-operated gaming locations across ten states. Through exclusive long-term contracts, Accel serves licensed non-casino locations including bars, restaurants, convenience stores, truck stops, gaming cafes, and fraternal and veteran establishments.

Accel provides its local partners with a turnkey, full-service, capital-efficient gaming solution that encompasses manufacturing, content, payments, loyalty, 24/7 customer service, data analysis and reporting, and cash logistics. The Company's racino, Fairmount Park - Casino & Racing, features live racing, electronic gaming machines, live table games, food and beverage amenities, and pari-mutuel betting.

Job Description:

Position Basics:

  • Based in our Burr Ridge or Chicago (West Loop/Fulton Market) Office
  • Hybrid Schedule, 4 days in-office, 1 day remote
  • Flexible work schedule
  • This role interacts directly with Executive leadership
  • Base Salary $100,000-$110,000 with 10% annual bonus
  • 3 years Data Analysis experience as well as relevant Bachelors degree required, equivalent experience may be considered
  • Proficiency in Visualization Tools required (PowerBI, SQL, & Tableu)
  • Preferred Experience: Predictive Modeling, Player Loyalty or Gaming Content Analysis
  • Competitive benefits - health insurance inc. vision and dental; 401(k) w/ match; PTO + paid holidays; and additional total rewards

Position Summary

    We are seeking a Sr. Data Analyst for a highly visible position within the Data Analytics team at Accel Entertainment. This role serves as a key analytics resource responsible for evaluating gaming machine performance, gaming software behavior, route and market activity, operational trends, and enterprise KPIs. The successful candidate will design efficient reporting, testing, and analytical solutions that help measure, explain, improve, and predict performance across the business. This position will partner closely with Operations, Product, IT, and corporate data management teams to ensure decision makers have accurate, timely, and actionable insights.

    Role Focus
    • Analyze gaming machine performance, software outcomes, operational trends, route performance, and market-level activity to identify opportunities for revenue growth, efficiency, and improved decision making.

    • Use T-SQL /SQL Server Management Studio (SSMS) to query, validate, transform, and analyze data from multiple operational and enterprise sources.

    • Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or comparable visualization tools.

    • Leverage AI tools responsibly to accelerate exploratory analysis, generate deeper hypotheses, summarize complex patterns, and improve the quality and speed of analytical deliverables.

    Essential Duties and Responsibilities
    • Interpret data and analyze results using statistical and analytical techniques to support recurring reporting, ad hoc analyses, business reviews, and strategic initiatives.

    • Develop, maintain, and optimize T-SQL queries, stored procedures, data extracts, and analytical datasets using SSMS and related SQL Server tools.

    • Analyze gaming machine data, software events, location performance, route trends, game performance, player behavior indicators, and operational metrics to identify patterns, risks, and opportunities.

    • Create clear, accurate, and scalable dashboards and reports using Power BI, Tableau, or similar tools to communicate trends, KPIs, and recommendations to technical and non-technical audiences.

    • Partner with IT and data management teams to coordinate the collection, validation, and documentation of operational data from multiple source systems.

    • Support test design, measurement, and post-implementation analysis for gaming software changes, machine configurations, market activities, product initiatives, and process improvements.

    • Identify, maintain, and measure operational KPIs, including the tracking of strategic pillars, initiatives, and performance improvement opportunities.

    • Use AI-enabled tools and workflows to support deep analysis, anomaly detection, pattern discovery, data summarization, code assistance, and scenario exploration while maintaining appropriate data governance and validation standards.

    • Document analytical methods, business logic, data definitions, assumptions, and internal controls to promote consistency, auditability, and repeatability.

    • Translate complex analytical findings into concise insights, business implications, and recommended actions for management and cross-functional stakeholders.

    • Perform other duties as assigned, including special projects and time-sensitive analytical requests.

    Qualifications
    • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Management, Analytics, Business Analytics, Economics, or a related quantitative field; equivalent experience may be considered.

    • 3+ years of experience as a Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, or similar analytics role.

    • Strong hands-on experience writing T-SQL queries in SQL Server Management Studio (SSMS), including joins, aggregations, subqueries, common table expressions, window functions, and data validation techniques.

    • Experience building dashboards, reports, and visual analyses in Power BI, Tableau, or comparable visualization platforms.

    • Strong analytical skills with the ability to collect, organize, validate, analyze, and communicate large and complex datasets with attention to detail and accuracy.

    • Ability to analyze operational, machine, software, transaction, or event-level data and translate findings into practical business recommendations.

    • Experience using AI tools to assist with analysis, research, query development, hypothesis generation, documentation, or synthesis of analytical findings.

    • Adept at query development, report writing, data storytelling, and presenting findings to management.

    • Strong verbal and written communication skills, including the ability to present complex information in a clear, digestible manner.

    • Excellent attention to detail, strong organizational skills, and a proven track record of meeting deadlines while producing high-quality work.

    • Ability to work cooperatively and collaboratively with all levels of employees, management, and external partners to maximize performance, creativity, problem solving, and results.

    • Ability to operate independently with minimal direction while managing multiple priorities and projects simultaneously.

    Preferred Qualifications
    • Experience in gaming, amusement, route operations, retail, hospitality, distributed operations, regulated environments, or other high-volume operational data settings.

    • Familiarity with A/B testing, pre/post analysis, cohort analysis, anomaly detection, or statistical measurement of operational initiatives.

    • Experience documenting KPI definitions, data lineage, dashboard requirements, and report governance standards.

    • Exposure to Python, R, Databricks, Azure, or other modern analytics tools is a plus.

    Base Pay Range:

    Base Salary: $100,000-110,000 + 10% annual bonus

    This range represents the low and high end of the anticipated base salary range for this position. The base salary will depend on a number of factors such as: qualifications, experience level, and skillset.

    Voluntary full-time employment benefits include medical, dental, and vision; life, AD&D, critical illness, and hospital insurance; short and long-term disability; identity/legal protection; as well as access to FSA and HSA accounts. Full and part-time employees are eligible to contribute to traditional and/or Roth 401(k) plans. Our Employee Assistance Program (EAP) offers counseling for a multitude of topics including (but not limited to) mental health, finances, adult care, disability, and grief.

    Accel Entertainment is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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