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Weekday Data Analysis Excel Jobs in Illinois (NOW HIRING)

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Sr. Data Analyst with SWIFT Experience

Chicago, IL · On-site

$88K - $111K/yr

Required : • Strong Data Analysis • Experience in writing queries for data analysis • Ability to use Excel to analyze and present data related findings • Knowledge of SWIFT messaging ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Completes ad hoc data queries & analysis in Excel or other tools. * Demonstrates superb attention to detail. Client Engagement: * High level of exposure to C-suite leadership. * Responsible for ...

Analyze large file-based datasets using data transformation tools such as Excel, Databrew, and SQL to effectively map data from source systems to target systems * Continuously optimize data processes ...

Analyze large file-based datasets using data transformation tools such as Excel, Databrew, and SQL to effectively map data from source systems to target systems * Continuously optimize data processes ...

Analyze large file-based datasets using data transformation tools such as Excel, Databrew, and SQL to effectively map data from source systems to target systems * Continuously optimize data processes ...

Advanced proficiency in Microsoft Excel, PowerPoint, and Word . * Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong written and verbal communication ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

... analysis, strategy, consulting or a related analytical role * Advanced Microsoft Excel knowledge required * Experience in web-scraping strongly preferred * Proficiency in SQL and data manipulation ...

Showing results 41-60

Weekday Data Analysis Excel information

What is a Weekday Data Analysis Excel?

A Weekday Data Analysis Excel job typically involves analyzing data using Microsoft Excel during standard business days (Monday to Friday). Professionals in this role use Excel tools like formulas, pivot tables, and charts to interpret data, generate reports, and provide actionable insights. They may work with large datasets, clean and organize information, and present findings to help guide business decisions. This job often requires strong attention to detail, proficiency in Excel, and good communication skills.

What are the key skills and qualifications needed to thrive as a Weekday Data Analysis Excel specialist?

To excel as a Weekday Data Analysis Excel specialist, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often supported by a background in data analytics or a related field. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes certifications like Microsoft Office Specialist (Excel) are typically required. Effective communication, problem-solving abilities, and time management help you interpret data accurately and present actionable insights to stakeholders. These skills enable efficient data handling, informed decision-making, and the ability to deliver timely results in a business environment.

What are some common challenges faced by professionals in a Weekday Data Analysis Excel role, and how can they be addressed?

Professionals in a Weekday Data Analysis Excel role often encounter challenges such as managing large datasets, ensuring data accuracy, and meeting tight deadlines for reports. Collaborating with team members to clarify data requirements and utilizing advanced Excel functions like pivot tables and formulas can help streamline workflows. Continuous learning and staying updated with Excel's latest features are also essential for efficiency. Regular communication with stakeholders helps align analysis with business goals and reduces the risk of misinterpretation.

What is the difference between Weekday Data Analysis Excel vs Data Analyst?

AspectWeekday Data Analysis ExcelData Analyst
Required SkillsExcel, data visualization, basic statisticsExcel, SQL, data visualization, statistics, programming
Work EnvironmentOffice, remote, primarily using ExcelOffice, remote, using Excel, SQL, and analytics tools
Industry UsageBusiness, finance, marketingMultiple industries including finance, healthcare, tech
CertificationsExcel certifications, data analysis coursesExcel, data analysis, or related certifications

Weekday Data Analysis Excel roles focus on analyzing data primarily using Excel, suitable for entry-level or specialized tasks. Data Analysts typically require broader skills including SQL and advanced analytics tools, working across various industries. Both roles involve data interpretation but differ in technical complexity and scope.

What are the most commonly searched types of Data Analysis Excel jobs in Illinois?

The most popular types of Data Analysis Excel jobs in Illinois are:

Remote Data Analyst

Wolf Soccer Club

Rockford, IL • On-site

Other

Posted 5 days ago


Job description

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering competitive performance and player development. Based in Naperville, IL, the club focuses on providing structured training, data-informed coaching, and a positive environment for athletes of varying skill levels. The organization values teamwork, discipline, and continuous improvement, both on and off the field. Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth.
Role Description The Remote Data Analyst at Wolf Soccer Club is a full-time position responsible for collecting, cleaning, and analyzing soccer-related and organizational data to support coaching, operations, and strategic planning. On a day-to-day basis, this role will design and maintain data models, create reports and dashboards, and translate complex analyses into clear insights for staff and leadership. The Data Analyst will collaborate with coaches, administrators, and other stakeholders to identify key performance indicators, track trends, and recommend data-driven improvements. Although the role is focused on data tasks that can be performed remotely, this is an on-site role located in Naperville, IL, requiring regular presence at the club’s facilities for meetings, data collection, and collaboration.
Qualifications
  • Strong Analytical Skills and Data Analytics capabilities, with experience interpreting quantitative data to inform decisions.
  • Proficiency in Statistics, including descriptive and inferential methods relevant to performance and operational analysis.
  • Experience with Data Modeling to structure, organize, and maintain data for reporting and forecasting.
  • Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
  • Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.
  • Ability to work independently, manage multiple projects, and meet deadlines in a dynamic sports environment.
  • Interest or experience in sports analytics, particularly soccer, is highly beneficial.