IT - Pricing Trainee

Sonae Arauco; Maia; Presencial; EUR 30 000 - 45 000; Tempo integral

Resumo da oferta

A leading global data-driven company in Porto is seeking a Data Analyst to develop and implement comprehensive data analyses and analytics solutions. The ideal candidate will possess a Master's degree in a relevant field and have experience with data science tools. This role emphasizes predictive analytics and the design of robust data pipelines. Competitive compensation and a dynamic work environment are offered.

Qualificações

• Master's degree in Computer Science, Data Science, or a similar field.
• Understanding of machine learning techniques and algorithms.
• Experience with common data science toolkits.

Responsabilidades

• Develop and implement data analyses, from descriptive to predictive.
• Identify, analyze, and interpret data, trends, and patterns.
• Design and implement data pipelines.

Conhecimentos

Machine learning techniques

Data analysis

Statistical analysis

Excellent communication skills

Formação académica

Master's degree in Computer Science, Data Science, or similar

Ferramentas

R

Python

MATLAB

Descrição da oferta de emprego

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Join the Information Technology Department of Sonae Arauco

RESPONSIBILITIES:

1. Develop and implement data analyses, from descriptive to predictive, integrated with Sonae Arauco business intelligence and analytics solutions and tools.
2. Develop and deploy analytics solutions applying data mining techniques, machine learning, and statistical analysis.
3. Identify, analyze, and interpret data, trends, and patterns; analyze results.
4. Design and implement data pipelines, including loading, transformation, and storage, collecting data from multiple sources (on-premises and cloud, structured and unstructured).

QUALIFICATIONS:

1. Master's degree in Computer Science, Data Science, or a similar field.
2. Understanding of machine learning techniques and algorithms.
3. Experience with common data science toolkits, such as R, Python, MATLAB, and cloud platforms.
4. Excellent communication and analytical skills are required.