Job Location

Hershey, PA

This role sits at the intersection of analytics, IS/data platforms, and business decision‑making. The role owns the delivery of analytics and automation initiatives that translate enterprise data into actionable business insights, partnering closely with IS and business stakeholders.

Accountabilities

• Own end‑to‑end analytics delivery that drives business decisions- Lead analytics initiatives from problem definition through insight delivery, ensuring outputs translate into clear, actionable business recommendations.
• Translate business needs into scalable analytical solutions- Partner with stakeholders to convert business questions into analytical approaches and solutions that can scale across teams, customers, or enterprise reporting platforms.
• Partner with IS to design, access, and mine enterprise data platforms- Work closely with Information Services, data architects, and data scientists to access and mine enterprise data platforms (e.g., Databricks), validate data structures, and enable scalable data solutions.
• Ensure analytical outputs are accurate, trusted, and decision‑ready- Apply strong data validation, quality checks, and context awareness to ensure insights are reliable, scalable, and trusted by business users.
• Enable innovation and continuous improvement through analytics- Challenge the status quo by leveraging analytical tools, test‑and‑learn approaches, and new capabilities to identify growth opportunities and improve how analytics are delivered.
• Scope & Influence- Enterprise and cross‑team analytics initiatives, High‑visibility projects influencing business planning and prioritization
• Partnerships- Close, ongoing collaboration with IS / data engineering, Business stakeholders across teams and functions
• Role Orientation- Individual contributor with strategic ownership, Hands‑on analytics execution combined with solution design and enablement

Qualifications

• Demonstrated ability to independently explore data, ask insightful questions, and translate findings into recommendations
• Strong problem-solving capabilities, project management, and organizational skills
• Hands‑on experience using SQL and Python to extract, manipulate, and analyze large datasets
• Preferred experience with Databricks, Cloud data environments, and working with IS/data engineering teams
• Prior experience working with data visualization tools such as Tableau or PowerBI and data manipulation tools such as Alteryx
• Understands SAFe Agile product development cycles
• Ability to communicate effectively with technical and non-technical stakeholders

Experience & Education

• 5+ years of CPG analytics experience
• Bachelor’s Degree required

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