2

Remote Data Analyst Side Jobs in Illinois (NOW HIRING)

Remote, Offsite Department: 340b Admin Support Schedule: Days | Full-time How you'll make an impact ... Interpret complex pharmacy data to build actionable reports that empower our clinical teams to make ...

Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat ... Analyze data anomalies, matching issues, and client/member record quality concerns. * Gather ...

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 ...

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 ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Showing results 21-40

Remote Data Analyst Side information

What is a remote data analyst side?

A remote data analyst side job involves working part-time or as a freelancer to analyze data for organizations, all while working from a location outside the traditional office. Responsibilities typically include collecting, cleaning, and interpreting data to help businesses make informed decisions. This role allows professionals to leverage their analytical skills in a flexible setting, often outside of their primary job or commitments. Remote data analyst side jobs are ideal for those seeking additional income or experience without the constraints of a full-time, in-office position. Common industries hiring for these roles include marketing, finance, healthcare, and technology.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in a quantitative field such as mathematics or computer science. Familiarity with data analysis tools and programming languages such as SQL, Python, R, and platforms like Tableau or Power BI is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills set top remote analysts apart. These skills are essential for extracting actionable insights from data and effectively collaborating with distributed teams to support business decisions.

What are some common challenges faced by remote data analysts, and how can they be effectively addressed?

Remote data analysts often face challenges such as limited access to immediate team collaboration, potential data security concerns, and managing time across different time zones. To overcome these, it's important to leverage communication tools like Slack or Microsoft Teams for regular check-ins, use secure VPNs and follow company data protocols, and establish clear work schedules with your team. Proactively seeking feedback and maintaining organized documentation can also help ensure smooth workflow and effective collaboration.

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

AspectRemote Data Analyst SideRemote Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, Python/RBachelor's or higher in Data Science, Statistics, or related; similar technical skills
Work EnvironmentPart-time, freelance, or side projects; flexible hoursFull-time or part-time; employed by companies or clients
Employer & Industry UsageFreelance platforms, startups, consulting firmsCorporations, consulting agencies, research firms

The main difference is that a Remote Data Analyst Side typically works on freelance or part-time projects, offering flexibility, while a Remote Data Analyst is usually employed full-time or part-time by organizations. Both roles require similar skills and credentials, but their work settings and commitments differ.

What are the most commonly searched types of Data Analyst Side jobs in Illinois?

The most popular types of Data Analyst Side jobs in Illinois are:

What cities in Illinois are hiring for Remote Data Analyst Side jobs?

Cities in Illinois with the most Remote Data Analyst Side job openings:

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 16 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.


    What Accel Entertainment employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom