Sr Data Science Analyst

Role overview

Responsibilities

• Generate insights for strategic decisions across omni-channel sales, supply planning, and category management.
• Build and maintain Power BI dashboards using Scintilla, Nielsen, and internal supply chain data.
• Analyze large datasets for trends, risks, and opportunities affecting revenue, distribution, and execution.
• Explain complex analyses through clear narratives for business stakeholders.
• Improve and automate data collection, validation, and integration across data sources.
• Support ad hoc analysis and deep dives for business initiatives and leadership decisions.

Qualifications

• Bachelor’s degree in data science, computer science, statistics, mathematics, or a related technical field, or equivalent experience.
• 2–4 years of experience in a data, analytics, or technical role; CPG or retail experience is a plus.
• Advanced Excel skills in modeling, data manipulation, and scenario analysis.
• Experience with Power BI or similar tools such as Tableau or Looker.
• Working knowledge of Python or SQL, and experience working with SAP.
• Strong analytical mindset, attention to detail, and focus on data integrity.
• Ability to simplify complex analysis into business-relevant insights; comfortable in a fast-paced, ambiguous environment.

Benefits

• Benefits for eligible full-time employees include medical, dental, and vision insurance; 401(k) with company match; vacation and paid time off; holiday pay; short-term disability and life insurance; pet insurance discounts; wellness benefits; and an employee assistance program.

Compensation

• The stated Illinois base pay range is USD 74,511–102,453 at commencement of employment.
• Total compensation may include variable pay, benefits, 401(k), and paid time off; individual offers may vary based on job-related factors.