Data Insights Manager

2 semanas atrás


Oeiras, Lisboa, Portugal Procter & Gamble Tempo inteiro

About the Role

We are seeking a highly skilled Business Analyst to join our team at Procter & Gamble. As a Business Analyst, you will play a key role in transforming our brand building and enabling better decision-making through advanced analytics.

Key Responsibilities

  • Develop predictive and explanatory models using internal and external data sources to gain insights into consumer and shopper behaviors.
  • Build reproducible code, predictive models, analytics, storytelling, visualizations, and engaging presentations to facilitate a deep understanding of consumer and shopper behaviors.
  • Collaborate with cross-functional teams to drive business results and improve consumer's lives.
  • Stay up-to-date with industry trends and best practices in data science and analytics.

What We Offer

  • Opportunity to work with a dynamic and diverse team.
  • Continuous coaching and mentorship to help you grow in your career.
  • Meaningful work that impacts future business results.
  • Flexible working environment with a focus on work-life balance.

Requirements

  • Bachelor's or Master's degree in statistics, mathematics, applied informatics, data science, business management, or a related field.
  • Effective communication and excellent verbal and written English business skills.
  • Programming capability in SQL, Python, and R.
  • Ability to use data visualization tools such as Power BI and Tableau.
  • Passionate about discovering new things and learning quickly.

Preferred Qualifications

  • Experience in price elasticity modeling and promo return on investment modeling.
  • Experience in developing machine learning predictive models.
  • Experience in developing working methods with data.
  • Good understanding of sales and marketing principles.

Working at Procter & Gamble

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.


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