Entry-Level Data Mining Analyst — Porto

WealthGuard USA

Porto

On-site

EUR 12,000 - 16,000

Full time

14 days+

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Job summary

WealthGuard USA is seeking a Data Mining Analyst to join our Porto team. The role involves extracting, analyzing, and interpreting large datasets to identify patterns and trends that inform strategic decisions.

You will collect data from diverse sources, apply data mining techniques, and develop predictive models. You will present findings through reports and visualizations and collaborate with cross-functional teams to translate business needs into data-driven solutions.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics or related field.
  • Strong analytical skills with experience in data mining tools such as SQL, R or Python.
  • Knowledge of statistical methods and machine learning algorithms.
  • Ability to work with large datasets and manipulate complex data structures.
  • Strong communication skills with the ability to present technical information to non-technical stakeholders.

Responsibilities

  • Collect, organize, and clean large datasets from various sources
  • Use data mining techniques to extract meaningful information from the data
  • Analyze and interpret the data to identify patterns, trends, and correlations
  • Develop predictive models and algorithms to support business decisions
  • Present findings and insights in a clear and concise manner through reports or visualizations
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions

Skills

SQL
Python
R
Data analysis

Education

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

Tools

Hadoop
Spark
Tableau
Power BI

Job description

WealthGuard USA is seeking a Data Mining Analyst to join our Porto team. The role involves extracting, analyzing, and interpreting large datasets to identify patterns and trends that inform strategic decisions.

You will collect data from diverse sources, apply data mining techniques, and develop predictive models. You will present findings through reports and visualizations and collaborate with cross-functional teams to translate business needs into data-driven solutions.

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