CS&L Data Analyst Co-Op

Job Number #173442 - Overland Park, Kansas, United States

No Relocation Assistance Offered

Relocation Stipend:
One time $2,500 if >50 miles away from office

Travel:
Some travel (10%)

Duration:
August 2026 - May 2027

Salary Range: $23.00-$31.00/hr

The CS&L (Customer Service & Logistics) Data Analyst Co-Op is responsible for developing and managing data sets for analytical projects. This type of work requires attention to detail, an understanding of the most up-to-date data analysis tools, problem‑solving skills, and an analytical mindset. The position supports the CS&L team and current analysts with data requests, creation of curated data sets from existing raw data, and use of analytical tools to answer business questions and provide visibility to data.

This is a year‑round Co‑Op role, with availability from August 2026, no more than 29 hours per week while in session and no more than 40 hours per week on school breaks through May 2027. The co‑op collaborates frequently with experienced analysts and the broader CS&L team to support analytics projects, help build data architecture, and provide support to other internal teams on data preparation and analysis.

The co‑op must leverage both customer data and internal data to meet synchronization initiatives.

• Use SQL to pull and aggregate data for CS&L projects, validating using SAP and other analytical tools as required.
• Conduct data cleaning, data merging, data architecture review, and data quality control, while creating documentation for each data request.
• Help develop reports, analyses, and visualizations.
• Train and incorporate feedback from end‑users on new reports and dashboards.
• Work with different members of the CS&L team on reporting and automating analytical needs.
• Work cross‑functionally with different teams on data sets, inputs, and outputs.

• Have completed a minimum of 3 upper‑level college classes in data analytics including data analysis and forecasting, data mining and predictive analytics, system analysis and design, and data visualization in business, or similarly related classes.
• Experience working in databases like Snowflake, Big Query, etc.
• Experience in SQL programming: ability to read/write complex SQL queries to analyze data, investigate systemic defects, and validate data quality.
• Working knowledge of data modeling, data warehousing, and ability to access relational and multidimensional databases.
• Be an enrolled student pursuing a degree for the duration of this position from August 2026 to May 2027.
• Have full US work authorization without need for visa sponsorship now or in the future, including H1‑B/F‑1/OPT/CPT, etc.

• Strong desire to serve the customer, identify and revolve needs, and follow up when necessary.
• Ability to leverage knowledge of numerous data sources, including SAP, external data, and existing internal reports.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to learn and work in a changing environment with minimal supervision.
• Demonstrated analytical, organizational skills, critical thinking, and attention to detail.
• A strong willingness to learn and adapt to new priorities as they come.
• Familiarity with how to access, input, and analyze data in SAP.
• Proficiency with planning systems and Google and Microsoft Office products, including Excel, Google Sheets, and Google Presentations.

Salary Range: $23.00 - $31.00 USD. Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit‑sharing, and long‑term incentives for Executive‑level roles.

Benefits:
Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the…