Data Mining Analyst - Visa Sponsorship (Braga)

FamilyFirst Qatar; Braga; Presencial; EUR 15 000 - 20 000; Tempo integral

Resumo da oferta

FamilyFirst Qatar is seeking a Data Mining Analyst in Braga, Portugal to analyze large data sets, identify patterns, and deliver data-driven insights. The role requires strong skills in statistics, mathematics, and computer science, with experience in data cleansing, modeling, and predictive analytics.

The ideal candidate will be proficient in SQL, Python or R, familiar with SPSS and MySQL, and possess excellent analytical and communication abilities.

Qualificações

• Bachelor’s degree in Computer Science, Mathematics, Statistics or related field.
• Proven experience as a Data Mining Analyst or similar role.
• Proficiency in programming languages such as SQL, Python or R.
• Knowledge of statistical analysis tools (e.g. SPSS).
• Familiarity with database systems (e.g. MySQL).
• Excellent analytical skills with the ability to analyze large datasets.
• Strong attention to detail and problem-solving abilities.
• Excellent communication skills.

Responsabilidades

• Collect, organize, and analyze large data sets from multiple sources.
• Apply statistical methods to identify patterns and trends.
• Develop algorithms and models to extract insights from data.
• Collaborate with cross-functional teams to meet business needs.
• Prepare reports and visualizations to communicate findings.
• Monitor data quality and implement updates as needed.
• Stay updated on data mining trends and techniques.

Conhecimentos

SQL

Python

R

Data analysis

Attention to detail

Communication

Formação académica

Bachelor's degree in Computer Science, Mathematics, Statistics or related field

Ferramentas

SPSS

MySQL

Descrição da oferta de emprego

FamilyFirst Qatar is seeking a Data Mining Analyst in Braga, Portugal to analyze large data sets, identify patterns, and deliver data-driven insights. The role requires strong skills in statistics, mathematics, and computer science, with experience in data cleansing, modeling, and predictive analytics.

The ideal candidate will be proficient in SQL, Python or R, familiar with SPSS and MySQL, and possess excellent analytical and communication abilities.