L2 Process Data Analyst

Description

Junior/Mid-Level Data Analyst
Location: Cincinnati, OH – 100% Onsite
Duration: 6-Month Contract with Likely Extension (6–12+ months)
Interview Process: Onsite Interview

***NO C2C!!!- W2 ONLY

Job Description
We are seeking a Junior to Mid-Level Data Analyst to join the Retail & Store Operations team and support data analytics and business insights across Inventory, Supply Chain, In-Stock, Labor, and Expenses. The ideal candidate will have 2–4 years of hands-on experience with SQL, data visualization, and data manipulation, along with experience in retail, consumer packaged goods (CPG), supply chain, or operations analytics.
This role will support several upcoming technology and innovation initiatives, including the rollout of RFID scanners in stores to improve inventory management and product availability, as well as the implementation of robot assistants and robot shoppers at lower-performing stores.
Responsibilities

• Write and optimize SQL queries to extract, analyze, and structure data for business reporting and analytical workflows.
• Create and maintain structured datasets and tables to support reporting and analytics.
• Develop interactive dashboards and reports using Power BI, Tableau, or Qlik.
• Manipulate and analyze data to identify trends, opportunities, and business insights.
• Support analytics related to inventory, supply chain, in-stock levels, labor, and expenses.
• Partner with business and IT teams to understand requirements and translate them into data solutions and reporting tools.
• Support data analytics for new retail technology initiatives, including RFID and robotics.
• Help stakeholders understand data and use analytical insights to support business decisions.
• Work effectively in a fast-paced, matrixed environment with multiple stakeholders.

Required Qualifications

• 2–4 years of hands-on SQL and data querying experience, including writing and optimizing queries, creating tables, and building structured datasets.
• 2–4 years of experience with BI/data visualization tools, such as Power BI, Tableau, or Qlik.
• 2–4 years of experience with data manipulation and scripting to support analytical workflows.
• Experience in retail, CPG, consumer goods, supply chain, or operations analytics.
• Understanding of common retail and supply chain metrics and business processes.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with both technical and business stakeholders.