LA PS A&I Data Analyst (Focus on BOP Analytics)
Procter & Gamble
- Location
- PANAMA BUSINESS CENTER
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 24, 2026
Skills
About this role
Job Location PANAMA BUSINESS CENTER Job Description General Overview: Lead and enhance analytical programs, presenting business results to leadership. Analyze granular business data and employ advanced modeling techniques to deliver actionable insights across diverse business domains. By combining analytical expertise, strong data and system knowledge, and business acumen, you will answer and anticipate critical business questions and opportunities, delivering impactful insights to stakeholders. Deliver insights through data visualization tools (Tableau, Power BI, Excel) and analytical tools (Python, R, SQL, KNIME/Alteryx), extracting meaningful business intelligence from complex datasets. Collaborate with multifunctional teams—including PS, IT, Sales, and Marketing—to drive improvements in key business priorities based on your data-driven recommendations. BOP Analytics Priorities: Deliver insights and develop models to evaluate initiative performance and its relationship with BOP forecast accuracy. Deliver insights and develop models to assess promotional activities’ performance and their impact on BOP forecast accuracy. Design analytical frameworks to evaluate BOP forecasts. Track the evolution of BOP forecast accuracy and provide insights for continuous improvement. Propose and apply analytical methodologies to predict product cannibalization and its impact on the BOP forecast and accuracy. Job Qualifications Lead and enhance analytical programs, presenting business results to leadership. Analyze granular business data and employ advanced modeling techniques to deliver actionable insights across diverse business domains. By combining analytical expertise, strong data and system knowledge, and business acumen, you will answer and anticipate critical business questions and opportunities, delivering impactful insights to stakeholders. Deliver insights through data visualization tools (Tableau, Power BI, Excel) and analytical tools (Python, R, SQL, KNIME/Alteryx), extracting meaningful business intelligence from complex datasets. Collaborate with multifunctional teams—including PS, IT, Sales, and Marketing—to drive improvements in key business priorities based on your data-driven recommendations. Job Schedule Full time Job Number R000157509 Job Segmentation Entry Level