Entry-Level Data Mining Analyst - Contract to Full-Time

RapidFix Services

Herning

Presencial

DKK 102.000 - 122.000

Jornada completa

Hace 2 días
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Descripción de la vacante

RapidFix Services in Herning is seeking a Data Mining Analyst to collect, clean, and analyze large datasets, identifying patterns and trends to drive business decisions. You will work with a team of data scientists and business analysts to provide insights and recommendations.

This entry-level contract role offers potential for full-time employment based on performance, with responsibilities that include data preparation, modeling, and stakeholder communication.

Formación

  • Bachelor's degree in CS, statistics, mathematics or related field.
  • Strong SQL skills and experience with data mining tools such as Python or R.
  • Strong analytical skills with the ability to collect, organize, analyze, and present complex data.
  • Excellent communication to explain technical concepts to non-technical stakeholders.

Responsabilidades

  • Collect, clean, and organize large datasets from various sources.
  • Conduct data mining techniques such as clustering, regression analysis, and pattern recognition.
  • Develop algorithms and models to generate insights from data.
  • Collaborate with data scientists and business analysts to identify trends and patterns in data.
  • Communicate findings and recommendations to stakeholders clearly.

Conocimientos

SQL proficiency
Data analysis
Python or R
Communication skills
Machine learning familiarity

Educación

Bachelor's degree in CS/Statistics/Math or related

Herramientas

Python
R
SQL

Descripción del empleo

RapidFix Services in Herning is seeking a Data Mining Analyst to collect, clean, and analyze large datasets, identifying patterns and trends to drive business decisions. You will work with a team of data scientists and business analysts to provide insights and recommendations.

This entry-level contract role offers potential for full-time employment based on performance, with responsibilities that include data preparation, modeling, and stakeholder communication.

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