Global Data & Analytics Consultant | Flexible Hours & Growth

Sia; Rotterdam; On-site; EUR 52,000 - 76,000; Full time

Benefits offered by this job

Training opportunities

Opportunities to work on international

Flexible working hours

Meritocratic promotion

Performance related bonus

Health insurance

Job summary

Sia in Amsterdam is seeking a Data & Analytics Consultant to join the growing Data Science team. You will collaborate with Data Scientists, Data Engineers and other consultants on client projects, applying analytical skills to identify insights and business impact.

You will present results, run workshops, and contribute to delivering actionable recommendations while developing your own expertise in statistics, ML and optimization within multidisciplinary teams.

Qualifications

• WO Master's in Statistics, Econometrics, Economics, Business Analytics or related field.
• Recent graduate or several years of experience in a similar position.
• Strong Python and at least one other analytics language (R/SQL).
• Experience with data visualization (Tableau/Power BI).
• Knowledge of Machine Learning or optimization is a plus.
• Fluent in English and Dutch, both written and oral.

Responsibilities

• Work with Data Scientists, Data Engineers and consultants on client projects.
• Identify business problems by extracting, interpreting and explaining insights from data.
• Develop statistical and analytical methods to solve operational problems.
• Ensure deep insights translate into business impact.
• Present results and conduct workshops at customer sites.

Skills

Python

R

SQL

Analytical thinking

Communication

Teamwork

Leadership

Education

Master's in Statistics

Tools

Tableau

Power BI

Job description

Sia in Amsterdam is seeking a Data & Analytics Consultant to join the growing Data Science team. You will collaborate with Data Scientists, Data Engineers and other consultants on client projects, applying analytical skills to identify insights and business impact.

You will present results, run workshops, and contribute to delivering actionable recommendations while developing your own expertise in statistics, ML and optimization within multidisciplinary teams.