Información de la vacante:
- Rango de Sueldo $25,000 - $30,000
- Tipo de Sueldo Bruto
- Nivel de experiencia Junior
- Años de experiencia 1 a 3 años
- Niveles académicos Ingeniería
- Jornada de trabajo Tiempo Completo
- Idiomas Inglés Avanzado
- Requisitos Bachelor’s degree or master’s degree in business analytics, statistics, economics, engineering, or computer science. A minimum of 1-1/2 years with a bachelor’s degree in developing and implementing business analytics applications is required. Prior work experience must include 1 year of experience in the following areas Statistical modeling and programming using SAS or R or Python, preferably for demand forecasting. Working with large volumes of data and proficiency in writing SQL queries on relational databases like Teradata, Oracle, DB2, and SQL Server. UNIX, Perl scripting, shell scripting, and VBA macros on Excel Creating insights and visualization using Tableau, PowerBI, and/or Excel/VBA. Researching data and processes to identify root causes of supply chain issues such as low products supply, low sales, irregular promotions effects, seasonal changes in sales Working with IT support teams on projects such as the technical implementation of supply chain tools and upgrading and supporting systems and software Experience in implementing or using i2 demand forecasting software and understanding the demand planning process. Excellent communication skills with the ability to translate business needs into IT requirements. Ability to communicate statistical analysis into the nontechnical business language to demand planners and managers.
- Prestaciones Home Office, Aguinaldo, Seguro de Gastos Medicos Mayores, Vales de despensa, Vacaciones superiores
This position would be in the Demand Planning group which is a part of the Integrated Supply Chain sub-function in Frito-Lay’s Operations function. The Demand Planning group’s primary responsibilities include:
1) Maintain and enhance the demand forecasting statistical models
2) Design, develop and publish metrics
3) Provide analysis and support to the demand planners in the field
Accountabilities
- Assist demand planners with statistical model questions and investigate and troubleshoot SAS statistical model behavior with large data streams in the order of 10-200 GB of data.
- Communicate complex statistical analysis in nontechnical business language to demand planners and leadership.
- Support the weekly execution of demand forecasting processes, such as product phase in/phase out, BDC removal, and Top 25 process. Liaison with IT and other business functions to triage and resolve operational issues.
- Generate weekly accuracy, bias, and exception reports. Administer the relief process for exception scenarios.
- Support ad-hoc analytical needs as needed by developing programs, and tools, analyzing data, and/or creating visualizations in Excel and/or Tableau.
- Assist in deep-dive projects to incorporate business insights into optimizing SAS forecasting parameters to improve forecast accuracy. Conduct research on data and processes to identify root causes of supply chain issues such as low product supply, low sales, irregular promotions effects, and seasonal changes in sales.
- Assist in continuous improvement projects for improving forecasting solutions by applying innovative ideas, latest techniques, and algorithms.
