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Remote Data Analyst Assistant Jobs in Chicago, IL

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 ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

... and analysis * Assist with development of technical tools and platforms to standardize and ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Showing results 21-40

Remote Data Analyst Assistant information

See Chicago, IL salary details

$28.8K

$73.8K

$141.1K

How much do remote data analyst assistant jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data analyst assistant in Chicago, IL is $73,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a remote data analyst assistant?

A Remote Data Analyst Assistant is a professional who supports data analysts and data teams by performing tasks such as data collection, data cleaning, basic analysis, and report preparation, all while working from a remote location. They often use software tools to organize and process data, generate visualizations, and help ensure data accuracy. Their role is crucial in helping organizations make data-driven decisions efficiently, even when team members are not all in the same physical office.

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

To thrive as a Remote Data Analyst Assistant, you need a solid understanding of data analysis principles, basic statistics, and proficiency in spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, Google Sheets, SQL, and visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for collaborating remotely and ensuring data accuracy. These skills are vital for delivering reliable analytical support and maintaining productivity in a distributed work environment.

How does a remote data analyst assistant typically collaborate with team members and stakeholders?

As a Remote Data Analyst Assistant, collaboration is often facilitated through digital tools such as video conferencing platforms, shared project management software, and cloud-based data repositories. You’ll regularly communicate with data analysts, project managers, and sometimes clients to clarify data requirements, receive feedback, and update progress. Proactive communication and clear documentation are key to ensuring your analyses align with team objectives and timelines. While you may work independently on data preparation and basic analysis tasks, most projects involve frequent check-ins and collaborative problem-solving sessions.

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

AspectRemote Data Analyst AssistantRemote Data Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, supporting data teams with entry-level tasksRemote or on-site, performing complex data analysis and reporting
Employer & Industry UsageBusinesses, startups, and organizations needing support rolesCompanies requiring in-depth data insights and strategic analysis
Common Search & ComparisonOften searched together for entry-level roles or support positionsCompared for advanced data analysis roles or career progression

The Remote Data Analyst Assistant typically handles entry-level data support tasks with basic credentials, working in a remote environment for various organizations. In contrast, the Remote Data Analyst performs more complex analysis, often requiring higher education and experience. Both roles are common in data-driven industries, but they differ in responsibilities and skill levels.

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

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

What are popular job titles related to Remote Data Analyst Assistant jobs in Chicago, IL?

For Remote Data Analyst Assistant jobs in Chicago, IL, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Data Analyst Assistant job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,834 per year, or $35.5 per hour.

Senior Data Analyst - Gaming Analytics

Accel Entertainment

Chicago, IL • On-site, Remote

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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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