Analytics & Insights Manager (m/f/x)

Posted 5 Days Ago
Be an Early Applicant
Lisbon
3-5 Years Experience
AdTech • Beauty • Marketing Tech • Retail • Pharmaceutical
The Role
Analyzing internal and external data to build predictive and explanatory models for consumer, market, and retailer behaviors. Creating visualizations and engaging presentations to drive insights and decision-making processes.
Summary Generated by Built In

Job Location

Oeiras, Lisbon

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 Business 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.

Job Qualifications

  • You have a bachelor’s or master’s Degree in statistics, mathematics, applied informatics, data science, business management or in similar areas.

  • Effective communication, excellent verbal and written English business skills required.

  • Programming capability: SQL, Python R.

  • Ability to use data visualization tools: Power BI, Tableau or other.

  • Passionate about discovering new things and learn quickly.

  • Strong interpersonal skills, self-motivated, collaborative and "can-do" attitude.

…and it would be great to have as an addition:

  • Experience in developing machine learning predictive models.

  • Experience in developing working methods with data

  • Good understanding of sales and marketing principles

Job Schedule

Full time

Job Number

R000109779

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)

Top Skills

Python
R
SQL
The Company
HQ: Cincinnati, OH
117,512 Employees
On-site Workplace

What We Do

Procter & Gamble Company is an American multi-national consumer goods corporation.

P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®.

The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations.

We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within"​ organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1.

Join us and help make life better through meaningful work that makes an impact from Day 1.

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