Analytics & Insights Manager (m/f/x), Oeiras Oeiras

Analytics & Insights Manager (m/f/x), Oeiras
Oeiras
Oeiras, Distrito de Lisboa, Portugal

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Analytics & Insights Manager (m/f/x), Oeiras

Client: Procter & Gamble

Location: Oeiras, Portugal

Job Category: Other

EU work permit required: Yes

Job Reference: ba18535533fc

Job Views: 44

Posted: 23. 01. 2025

Expiry Date: 09. 03. 2025

Job Description:

Description

Do you have passion to transform P&G's brand building while enabling better
- making through advanced analytics? Enhance business results and improve 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:

1. Responsibility from Day 1 – you will feel the ownership of your work from the beginning
2. Recognized
   - edge IT skills with development opportunities in either a Data & Analytics specialized career path
3. Meaningful work in a dynamic, diverse,
   - cultural and flexible working environment, impacting future business results.
4. Continuous coaching and mentorship
5. 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

1. You have a bachelor’s or master’s Degree in statistics, mathematics, applied informatics, data science, business management or in similar areas.
2. Effective communication, excellent verbal and written English business skills required.
3. Programming capability: SQL, Python, R.
4. Ability to use data visualization tools: Power BI, Tableau or other.
5. Passionate about discovering new things and learn quickly.
6. Strong interpersonal skills,
   - motivated, collaborative and 'can-do' attitude.
7. …and it would be great to have as an addition:
8. Experience in price elasticity modelling and promo return on investment modelling.
9. Experience in developing machine learning predictive models.
10. Experience in developing working methods with data.
11. Good understanding of sales and marketing principles.

Job Schedule: Full time

Job Number: R000109779

Job Segmentation: Recent Grads/Entry Level (Job Segmentation)