Data analyst in consumer goods

RGM Consulting; Amsterdam; On-site; EUR 12,000 - 17,000; Full time

Benefits offered by this job

Competitive internship allowance

15 days paid leave pro‑rata

Team mentorship & learning resources

Annual company retreat

Job summary

RGM Consulting in Amsterdam offers a hands-on analytics internship in our Revenue Growth Management practice. You will join a growing team applying data science and advanced analytics to real-world business challenges across diverse industries, delivering measurable impact for clients.

You will frame problems, apply ML, and translate data into actionable insights, collaborating with cross-functional teams. The role requires you to be enrolled in a Dutch university, fluent in English, and

Qualifications

• Currently enrolled in a Master's or Bachelor's program in a quantitative field
• Enrolled at a Dutch university for the full duration of the internship
• Available full-time (40 hours/week) starting November/December 2026 for 6 months
• Able to work from our Amsterdam office at least 3 days per week
• Fluency in English required

Responsibilities

• Framing business problems and designing analytical solutions
• Applying advanced modeling techniques including ML (regression, time series, xgboost, neural nets)
• Writing optimized code to enhance our internal Data Science Toolbox
• Translating data into actionable insights for clients and internal teams
• Collecting, analyzing, and interpreting marketing, commercial, and operational data
• Developing and validating hypotheses using quantitative methods
• Contributing to client deliverables and participating in presentations
• Collaborating with colleagues and stakeholders across disciplines

Skills

Python

Machine learning

Data insights

Communication

Leadership

Self-starter

Cross-functional teamwork

Clear communicator

English fluency

Education

Master's in CS/DS/Statistics/OR/Econometrics

Bachelor's in quantitative field

Tools

Excel

PowerPoint

Streamlit/Dash (bonus)

Job description

Описание:

You will be part of the Analytics team within our Revenue Growth Management practice, based in our Amsterdam office. You'll join a rapidly growing group applying data science and advanced analytics to real-world business challenges across a variety of industries-delivering measurable and lasting impact for our clients.

Задачи:

• Framing business problems and designing, implementing, and scaling analytical solutions
• Applying advanced modeling techniques, including machine learning (e.g., regression, time series, xgboost, neural networks)
• Writing optimized code to enhance our internal Data Science Toolbox
• Translating data into actionable insights for clients and internal teams
• Collecting, analyzing, and interpreting marketing, commercial, and operational data
• Developing and validating hypotheses using quantitative methods
• Contributing to client deliverables and participating in presentations
• Collaborating closely with colleagues and stakeholders across disciplines

Требования:

• Skilled in Python (required)
• Experience with machine learning and advanced modeling techniques
• Proficient in Microsoft Excel and PowerPoint
• Strong mindset for turning data into actionable business insights
• A self-starter who is structured, adaptable, and both strategic and hands‑on
• Comfortable working independently and in cross‑functional teams
• Clear communicator able to explain complex ideas simply and convincingly
• Demonstrated leadership through academics or extracurricular activities
• Fluent in English
• Currently enrolled in a Master's (preferred) or a Bachelor's program in: Computer Science, Data Science, Statistics, Operations Research, Econometrics, or a related quantitative field
• Enrolled at a Dutch university for the full duration of the internship and eligible to work in the Netherlands
• Available full‑time (40 hours/week) starting November / December 2026 for 6 months
• Able to work from our Amsterdam office at least 3 days per week
• Будет плюсом: experience with any other language is a plus; Bonus: familiarity with Streamlit, Dash, or similar visualization frameworks

Условия:

• A competitive internship allowance
• 15 days of paid leave (pro‑rata based on internship duration)
• Bi‑monthly team events and an annual company retreat
• Access to mentorship, resources, and learning opportunities to support your growth
• A young and dynamic team where your contributions matter