Data Analyst Internship - Madrid, España - PGBPGNGLOBAL

Descripción

Job Location

Job Description

Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics? Enhance business results and improving consumer's lives every single day? Then this role could be perfect for you

As a Data Analyst, you will use internal and external data sources to build predictive and explanatory models that enable insights into how our consumers, markets, and retailers behave. Focuses on building reproducible code, predictive models, analytics, storytelling, visualizations, and engaging presentations that facilitate a deep understanding of consumer and shopper behaviors.

What we offer:

• Responsibility from Day 1 – you will feel the ownership of your work from the beginning
• Recognized cutting edge IT skills with development opportunities in either a Data & Analytics specialized career path
• Meaningful work in a dynamic, diverse, multi-cultural and flexible working environment, impacting future business results.
• Continuous coaching and mentorship
• Dynamic, creative and supportive work environment

Sounds like you? Then, please apply online in English via the link below.

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.

RESPONSIBILITIES

• Lead and improve analytical programs and present the results of your business unit/category/region to leaders.
• Analyze the variable, granular data of your business and regularly use advanced models to deliver business insights across diverse business domains.
• With a combination of analytical expertise, data and system knowledge, and business insight, you'll answer and anticipate critical business questions and opportunities and deliver insights to the business in ways that make significant impacts.
• Deliver real time insights and business transformation recommendations that improve our key measures and optimize business operations.
• Lead end-to-end development and execution of emerging capabilities and technologies leveraging our mountains of data.
• Collaborate with multifunctional teams (Marketing, Finance, IT, Sales) to improve key business priorities based on your data-driven insights.

Job Qualifications

QUALIFICATIONS (EXPECTED)

• Bachelors or Master's degree in quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or equivalent work experience.
• Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to tackle defined business problems.
• Ability to demonstrate, translate, and communicate sophisticated data into simple conclusions and business actions.
• Strong interpersonal skills including the ability to deliver a clear story to influence agreement to your recommendations with data and insights.
• Strong collaborator and thought leader with a growth mindset and ability to influence decisions.
• Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS or similar).
• Strong technical aptitude in Python/R or similar.
• Self-motivated to work with diverse business scenarios, prioritizing multiple priorities, and have a business and consultancy mind-set, while technically (data) savvy, and passionate about discovering new/innovative ways of doing things.

SUCCESS CRITERIA

• Delivery of Analyses and Models transforming business outcomes with penetrating insights.
• Business decision impact – driving new insights, resource/time/cost optimization, etc.
• <10% of time spent on reporting tasks.
• Minimum 10% allocation for upskilling.
• All impact plans contain personal growth plans.
• All new staff have onboarding plan before start.

Job Schedule

Job Number

Job Segmentation