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Remote Data Analysis Jobs in Illinois (NOW HIRING)

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

This is a remote position with the expectation of availability between 10am-6pm ET. Successful Data Analysts at C&L will be able to efficiently and effectively deliver data reports that not only ...

Data Analyst

Chicago, IL · Remote

$54/hr

Remote * Hourly salary: $54 Projects they will be working on: * There are 3 areas they will be ... Analyzing the data * Putting the data together

New

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

... remote based BI team, and offshore development team, staying closely coordinated with them, but not requiring day to day supervision. * 5+ years' experience in BI data analysis supporting BI ...

Identify data quality issues, investigate root cause analysis, and work with appropriate teams to ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Uncovering client needs through stakeholder interviews, process mapping, and exploratory data analysis. * Assessing and interpreting raw data sets to evaluate trends, data quality, performance ...

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Data Analyst - Data Ops

Chicago, IL · On-site +1

$55K - $60K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Remote, US Only About the Role: MustardSeed is seeking a PMO Data Analyst to help turn project data, client artifacts, schedules, risk logs, vendor performance history, and lessons learned into ...

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Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in Illinois? The most popular types of Data Analysis jobs in Illinois are:
What job categories do people searching Remote Data Analysis jobs in Illinois look for? The top searched job categories for Remote Data Analysis jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Analysis jobs? Cities in Illinois with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Illinois as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Remote Data Analyst

Easy Recruiter

Chicago, IL • Remote

Full-time

Posted 21 days ago


Job description

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data Analyst you will validate lists and apply remediation treatment on impacted accounts. This is an exciting opportunity to show your commitment, passion and enthusiasm for the role.

What will you be doing?

  • Utilizing SAS or another type of software that can be used to query bank databases to identify accounts impacted by opened incidents
  • Accurately identify accounts as defined by business requirements
  • Ensuring validation of files is completed, and assist in making changes as needed if requirements change and/or issues are identified
  • Apply remediation of accounts utilizing a variety of tools including TSYS Reflection scripts, and the creation of batch update files
  • Providing oversight to junior SAS resources, providing direction, coaching, and skill set enhancements
  • Driving delivery of remediation efforts to complete within defined timelines ensuring accuracy and speed to delivery

What were looking for:

  • Bachelor's degree in an analytical / statistical discipline required (e.g. Statistics, Economics, Mathematics, Finance, Operations Research or related quantitative)
  • Significant years of analytical experience
  • Ability to work independently and in a team environment with multiple internal and external stakeholders
  • Excellent understanding of SAS and Excel

Skills that will help you in the role:

  • Knowledge working with TSYS and FDR
  • Proven ability to self-manage and multi-task in a dynamic, ever-changing environment