Product Supply Data Analyst
MEXICO CITY GENERAL OFFICE, Mexico
Procter & Gamble
Job Location
MEXICO CITY GENERAL OFFICEJob Description
Location: Interlomas
Schedule: Full-time
Mode: Hybrid
Availability: Immediate
Education: Bachelor's or Masterās degree in a quantitative field
We will ensure that we provide reasonable accommodation to persons with disabilities who require it to participate in the job application or interview process, to perform essential job functions, and to receive other employment benefits and privileges.
If you have a disability that affects your ability to complete our selection process, please indicate us to ensure the necessary suitability. You can learn more hereĀ https://faq.pgwebtools.com/disability-accommodation-request/?fl_builder
Job Objective
Procter & Gambleās Analyst Roles directly influence business strategy, pricing, promotions, retail design, media investments, supply chain designs, and much more. We use our boundless curiosity to discover what consumers want, why they want it, and how we can influence them through immersive exploration, in-depth analysis, and advanced modeling.
Youāll need to mine and integrate multiple sources of data, derive significant insights, and translate sophisticated machine learning or econometric models into simple conclusions that will empower the business to take action to win against consumers. Youāll be a primary driver of delivering insights that will educate and influence key business decision-making.
- Extract, clean, and model data from multiple sources (SQL, SAP, transportation/warehouse systems).
- Develop forecasts and statistical models for logistical KPIs (OTIF, inventory, routes, costs).
- Design, automate, and maintain interactive dashboards in Power BI, Tableau, or Spotfire.
- Present findings and recommendations to local directors and regional audiences, articulating data stories.
- Lead analytical projects, managing timelines, scope, and communication with stakeholders.
- Understand business challenges in Product Supply and translate them into clear analytical solutions.
- Ensure best practices in data governance (documentation, quality, security).
Job Qualifications
Hard SkillsSQL, Python and/or R.
Proficiency in Power BI, Tableau, or Spotfire.
Knowledge of forecasting, regression, time series, and hypothesis testing.
Advanced Excel skills.
Minimum of 2 years in data analytics roles.
Bachelor's or Masterās degree in Engineering, Mathematics, Statistics, Data Science, Physics, or another quantitative discipline.
Intermediate-high English (B2 or higher).
Analytical thinking and results orientation.
Ability to simplify complex information and narrate data stories that influence decisions.
Effective communication and empathy to collaborate with cross-functional teams and diverse hierarchies.
Autonomy and organization to prioritize multiple projects in a dynamic environment.
Consultative mindset and constant curiosity for new methodologies and technologies.
Previous experience in warehouse operations, transportation, or supply chain planning.
Process automation (Python, RPA, Alteryx, KNIME).
Management of āin productionā dashboards with continuous improvements and attention to end users.
Certification or experience in agile methodologies (Scrum, Kanban) and/or Project Management.
Basic knowledge of logistics network optimization or operations research.
Desirable experience with cloud environments (Databricks, Azure, AWS).
WhatĀ weĀ offer:
Significant work from your first day in P&GĀ and every day learning.
Environment multifunctional teamwork and high level of interaction with managers and directors who will develop your skills.
Flexible work arrangements.
Wellness programsĀ (medical checkup, gym, etc.)
Competitive salary and benefits program -Ā private life & medical insurance for employees and dependents, PG stock, saving plans.
ContinuousĀ coachingĀ ā you will work with hardworking people and receive both formal training as well as day-to-day mentoring from your manager
Multifaceted,Ā encouraging, andĀ supportiveĀ workĀ environmentĀ ā employees are at the core, we value every individual and support initiatives, promoting agility and work/life balance.
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We are an equal opportunity employer. We donāt discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. Our people are all equally hardworking in extraordinary ways: we come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to encourage us with your ideas?
Job Schedule
Full timeJob Number
R000133030Job Segmentation
Experienced Professionals (Job Segmentation)* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile AWS Azure Data Analytics Databricks Data governance Engineering Excel Kanban KNIME KPIs Machine Learning Mathematics Physics Power BI Python R Research Robotics RPA Scrum Security Spotfire SQL Statistics Tableau Testing
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Wellness
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