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Remote Excel Data Analyst Jobs in Aurora, IL (NOW HIRING)

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Remote Excel Data Analyst information

See Aurora, IL salary details

$33.7K

$81.9K

$134.8K

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

As of May 28, 2026, the average yearly pay for remote excel data analyst in Aurora, IL is $81,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Excel Data Analyst, and why are they important?

To excel as a Remote Excel Data Analyst, you need strong analytical skills, advanced proficiency in Microsoft Excel, and a solid understanding of data management principles, often supported by a degree in a related field. Familiarity with Excel functions, PivotTables, VBA scripting, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate data analysis, clear reporting, and impactful business insights in a virtual environment.

How does a Remote Excel Data Analyst typically collaborate with team members while working offsite?

As a Remote Excel Data Analyst, collaboration is often managed through digital communication tools such as Slack, Microsoft Teams, and email. Analysts frequently share spreadsheets, conduct screen-sharing sessions, and participate in virtual meetings to discuss findings or review data together. Clear documentation and version control of Excel files are crucial to ensure everyone is aligned. Regular check-ins and updates help maintain transparency and foster teamwork, despite the physical distance.

What does a Remote Excel Data Analyst do?

A Remote Excel Data Analyst is responsible for collecting, organizing, and analyzing data using Microsoft Excel while working from a remote location. They use advanced Excel functions and tools to create reports, visualize data, and provide insights that help businesses make informed decisions. Tasks may include cleaning and validating data, building dashboards, automating processes with formulas or macros, and collaborating with teams online. Strong attention to detail and proficiency in Excel are essential for this role.

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

AspectRemote Excel Data AnalystRemote Data Analyst
Required SkillsExcel, data analysis, basic SQLExcel, SQL, data visualization, statistical tools
CertificationsExcel certifications, data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, primarily working with Excel filesRemote, using various data tools and platforms
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, marketing

The Remote Excel Data Analyst primarily focuses on analyzing data using Excel and related tools, often in industries like finance and marketing. In contrast, the Remote Data Analyst typically works with a broader set of data tools, including SQL and visualization software, across diverse industries. Both roles are remote and require strong analytical skills, but the Remote Data Analyst usually demands a wider technical skill set.

What are the most commonly searched types of Excel Data Analyst jobs in Aurora, IL? The most popular types of Excel Data Analyst jobs in Aurora, IL are:
What job categories do people searching Remote Excel Data Analyst jobs in Aurora, IL look for? The top searched job categories for Remote Excel Data Analyst jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Remote Excel Data Analyst jobs? Cities near Aurora, IL with the most Remote Excel Data Analyst job openings:
Infographic showing various Remote Excel Data Analyst job openings in Aurora, IL as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,932 per year, or $39.4 per hour.

HR Data Analyst, Talent Analytics

LivaNova

Chicago, IL โ€ข Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

POSITION SUMMARY:

The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.

KEY RESPONSIBILITIES:

  • Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company.

  • Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization.

  • Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.

  • Identify statistical analysis techniques required to deliver insights.

  • Advance the use of complex analytical techniques and statistical thinking.

  • Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand.

  • Produce concise, story-driven presentations to communicate analytic insights.

  • Collect and share information on government labor statistics and external benchmarks.

  • Continually analyze competitor practices to make appropriate recommendations to upper management.

  • Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models.

  • Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.

  • Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output.

  • Educate the HR team on analytical findings, general data and data management best practices.

  • Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve.

ESSENTIAL KNOWLEDGE & EXPERIENCE:

  • Master's degree in Data Science, Computer Science, Business Analytics or closely related field

  • 1 year of experience as a Human Resources Analyst or HR Data Analyst

  • The Master's degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models.

Pay Transparency:A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

Health benefits - Medical, Dental, Vision

Personal and Vacation Time

Retirement & Savings Plan (401K)

Employee Stock Purchase Plan

Training & Education Assistance

Bonus Referral Program

Service Awards

Employee Recognition Program

Flexible Work Schedules

#LI-Remote

Welcome to impact. Welcome to innovation. Welcome to your new life.