Senior Manager Business Analytics

Position Overview

• Location Type: Hybrid (Parsippany preferred)
• Job Type: Full Time
• Salary: Not specified

This role is responsible for analyzing complex data sets to deliver insights that support business decisions and strategies. It requires strong analytical skills, an aptitude for data and insights translation, and the ability to work across different functional stakeholders. The ideal candidate will have experience in data visualization, statistical analysis, and problem-solving, coupled with the ability to communicate findings to stakeholders in a clear and actionable way. The role will engage with key stakeholders across sales, marketing, integrated insights and business intelligence, DDS and Zoetis Tech and Digital organizations, and other enabling functions. The position requires a candidate who is comfortable translating and connecting the business context to the technical and analytical design & execution. The successful candidate will be passionate about solving the most critical business problems through data and advanced analytics and must be self-motivated, detail-oriented, with strong independent problem-solving skills, able to lead technical teams, and be comfortable in an environment of changing priorities. The 5 positions – two will lead Brand analytics, one will lead Independent Petcare, one will lead Corporate & Specialty and one will lead Enabling Functions.

Requirements

• Advanced degree in business analytics or a related field.
• Strong analytical skills and aptitude for data translation.
• Experience in data visualization and statistical analysis.
• Experience in problem-solving and identifying trends within complex datasets.
• Ability to communicate findings to stakeholders clearly and concisely.
• Comfortable working with large and complex datasets.
• Ability to collaborate with senior leaders and non-technical audiences.
• Passionate about solving business problems through data and advanced analytics.
• Self-motivated and detail-oriented.

Responsibilities

• Analytics and Insight Generation:
  • Gather, clean, and organize large and complex datasets from various sources.
  • Perform analysis to identify patterns, correlations, and trends within datasets.
  • Translate insights to actionable recommendations aligned with business objectives.
  • Design business intelligence and analytics tools to track business performance.
  • Build advanced analytics to extract key strategic insights (product, customer, etc.) to inform key strategic decisions.
• Model Development and Optimization:
  • Build, test, and validate predictive models to support business needs.
  • Implement and maintain machine learning models in production environment.
  • Monitor model performance and refine algorithms to ensure accuracy and relevance.
• Stakeholder Engagement:
  • Collaborate with senior leaders to identify opportunities for business growth and assist in implementing data-driven strategies.
  • Communicate insights and strategic recommendations to stakeholders at all levels.

Application Instructions

• Not specified in the provided text.