Data Mining Analyst: Insights & Automation

PeakNet

Funchal

Presencial

EUR 8900 - 12 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

PeakNet in Funchal, Portugal, is seeking a Data Mining Analyst to collect, analyze, and interpret large datasets to identify patterns and insights. You will collaborate with the data team to improve data collection processes and optimize mining techniques.

The ideal candidate has a bachelor's in CS/Math/Stats, 2+ years experience, and strong SQL/Python/R skills with experience in SPSS/SAS. Visa eligibility in Portugal is required for applicants.

Qualificações

  • Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
  • Minimum 2 years of experience in data mining or related field.
  • Proficiency in SQL, Python or R; familiarity with SPSS or SAS.

Responsabilidades

  • Collect and organize data from various sources such as databases and spreadsheets.
  • Use advanced statistics to analyze large datasets and identify patterns and trends.
  • Develop models and algorithms to automate data mining processes.
  • Collaborate with cross-functional teams to identify business needs and provide insights.
  • Prepare reports and visualizations to present findings clearly.
  • Monitor data quality and suggest improvements.
  • Stay updated on data mining best practices.

Conhecimentos

SQL
Python
R
Analytical thinking
Communication skills

Formação académica

Bachelor's degree in Computer Science/Math/Statistics or related field

Ferramentas

SPSS
SAS
Databases

Descrição da oferta de emprego

PeakNet in Funchal, Portugal, is seeking a Data Mining Analyst to collect, analyze, and interpret large datasets to identify patterns and insights. You will collaborate with the data team to improve data collection processes and optimize mining techniques.

The ideal candidate has a bachelor's in CS/Math/Stats, 2+ years experience, and strong SQL/Python/R skills with experience in SPSS/SAS. Visa eligibility in Portugal is required for applicants.

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