Data Mining Analyst - Entry Level (Porto)

Work in USA

Porto

Presencial

EUR 9000 - 11 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Work in USA in Porto is seeking a Data-Mining Analyst to collect, clean and analyze large datasets, identify trends, and develop models for predictive insights. This contract role welcomes freshers and offers hands-on experience in data mining and reporting to stakeholders.

Responsibilities include applying SQL, R or Python for data manipulation, presenting findings with visualizations, and communicating actionable recommendations to the team in Porto.

Qualificações

  • Bachelor's degree in Mathematics, Statistics, Computer Science or related field preferred.
  • Strong analytical skills with the ability to work with large datasets.
  • Proficiency in SQL, R or Python for data manipulation and analysis.
  • Knowledge of data mining techniques such as clustering, regression, and decision trees.
  • Excellent communication skills with the ability to present complex information in a clear manner.

Responsabilidades

  • Collect and clean large amounts of data from various sources.
  • Use advanced statistical methods to analyze and interpret data.
  • Identify patterns and trends in the data to provide insights and recommendations.
  • Develop algorithms and models for predictive analysis.
  • Communicate findings to stakeholders through visualizations and presentations.

Conhecimentos

Analytical skills
Ability to work with large datasets
Communication skills

Formação académica

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

Ferramentas

SQL
R
Python

Descrição da oferta de emprego

Work in USA in Porto is seeking a Data-Mining Analyst to collect, clean and analyze large datasets, identify trends, and develop models for predictive insights. This contract role welcomes freshers and offers hands-on experience in data mining and reporting to stakeholders.

Responsibilities include applying SQL, R or Python for data manipulation, presenting findings with visualizations, and communicating actionable recommendations to the team in Porto.

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