Senior Analyst, Retail Business Intelligence

Zoetis - Parsippany-Troy Hills, NJ

Full-time - Mid Level

Parsippany-Troy Hills, NJ

Chemical Manufacturing

About the position

The Retail Business Intelligence Analyst at Zoetis plays a crucial role in providing insights that assess the performance of the retail business and drive continuous improvements. This position is responsible for managing data models, defining and analyzing performance metrics, building reports, running experiments, and developing models. The analyst will develop and maintain key retail reports that inform and guide decision-making within the retail team. This includes creating, automating, and managing performance measurement tools, uncovering high ROI investment opportunities, and supporting the design and analysis of promotional campaigns. The role also involves designing and maintaining KPIs, reports, analyses, and dashboards to assist with demand forecasting and to drive key business decisions. In addition to these responsibilities, the analyst will provide comprehensive responses to ad hoc managerial requests, synthesizing complex data sets into summary formats suitable for non-technical audiences. Collaboration with the business analytics team and IT is essential to develop detailed data mapping and end-to-end process flows, ensuring best practices for data integrity and quality are implemented. The position requires a strong analytical mindset, agility, and adaptability, along with excellent communication skills to effectively convey insights and recommendations to various stakeholders.

Responsibilities

• Develop and maintain key retail reports to inform and guide retail decision making.
• Create, automate, and manage performance measurement tools for the Zoetis retail team.
• Uncover and prioritize high ROI investment and savings opportunities using a combination of internal and 3rd party data sources.
• Support the design, post-hoc analysis and continuous improvement of promotional campaigns and other marketing activities.
• Design, develop, and maintain KPIs/metrics, reports, analyses, dashboards, etc. to drive key business decisions and assist with demand forecasting.
• Provide comprehensive responses to ad hoc managerial requests to obtain or explain data-related inquiries.
• Synthesize complex data sets into summary presentation format suitable for non-technical audiences.
• Work with the business analytics team and IT to develop detailed data mapping and end-to-end process flows, when needed, and to implement best practices for data integrity, data quality, and exception handling processes.

Requirements

• Bachelor's degree in finance, marketing, mathematics/statistics, economics, engineering or related field; Master's degree preferred.
• A minimum of 2 years of experience in statistical modelling or creating analytical frameworks with a focus on retail or eCommerce.
• Strong analytical mind and in-depth understanding of key business drivers.
• Agility, adaptability and strong problem-solving skills.
• Strong interpersonal skills and excellent written and verbal communication skills.
• Fluency in English required, other languages a plus.
• High proficiency with Excel and Tableau (or similar visualization tools).
• Experience with SQL and understanding of database architecture.

Nice-to-haves

• Preferred experience with cloud-based data environments such as Azure/Databricks.
• Familiarity with analytics tools such as Tableau.
• Understanding of SQL (or similar programming language).
• Knowledge of animal health and/or agri-marketing.
• Proficiency in analysis packages (e.g. R, SAS, Matlab), or programming languages (e.g. Java, Python, Ruby).
• Knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, or data mining.