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Day Shift Python Data Analyst Jobs in Gurnee, IL

On a day-to-day basis, this role will design and maintain data models, create reports and ... Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI ...

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

Data Analyst

Deerfield, IL · Remote

$65K - $80K/yr

Experience with SQL, Python,Ror other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 Minimum Pay (per hour): 60.41 ... Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar ...

Senior Data Analyst

Schaumburg, IL · On-site

$110K - $130K/yr

Write, read, and optimize complex SQL queries, Python scripts, and query languages for data ... This role requires 2 days per week in the office Reports to * Director of Data Management and ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

This position offers a hybrid work schedule where 2-3 days of your work will be onsite at our Lake ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

This position offers a hybrid work schedule where 2-3 days of your work will be onsite at our Lake ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

This position offers a hybrid work schedule where 2-3 days of your work will be onsite at our Lake ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

This position offers a hybrid work schedule where 2-3 days of your work will be onsite at our Lake ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

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Day Shift Python Data Analyst information

See Gurnee, IL salary details

$32.6K

$79.3K

$130.5K

How much do day shift python data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for day shift python data analyst in Gurnee, IL is $79,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What job categories do people searching Day Shift Python Data Analyst jobs in Gurnee, IL look for?

The top searched job categories for Day Shift Python Data Analyst jobs in Gurnee, IL are:

What cities near Gurnee, IL are hiring for Day Shift Python Data Analyst jobs?

Cities near Gurnee, IL with the most Day Shift Python Data Analyst job openings:

Infographic showing various Day Shift Python Data Analyst job openings in Gurnee, IL as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 29% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,320 per year, or $38.1 per hour.

Remote Data Analyst

Waukegan, IL • On-site

Other

Posted 10 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.