Data Mining Analyst — Remote & Impact-Driven

SummitLab; Faro; Híbrido; EUR 7800 - 15 000; Tempo integral

Resumo da oferta

SummitLab in Faro, Portugal is seeking a Data Mining Analyst to extract and analyze large data sets, uncover patterns, and inform business decisions. A strong analytical mindset and proficiency with data mining tools are essential.

You will develop predictive models, present insights to stakeholders through reports and visuals, and collaborate with cross-functional teams to deliver data-driven solutions while continuously improving data quality.

Qualificações

• Bachelor's degree in Computer Science, Statistics, or related field.
• Experience with data mining tools such as R, Python, SQL, or SAS.
• Strong knowledge of statistics and machine learning algorithms.
• Familiarity with database management systems and data visualization tools.
• Excellent analytical skills with the ability to interpret complex datasets.
• Good communication skills to present findings to non-technical audiences.

Responsabilidades

• Collect, clean, and organize large data sets from various sources.
• Use data mining techniques to identify patterns and trends.
• Develop predictive models and algorithms to forecast outcomes.
• Communicate findings to stakeholders through reports and visuals.
• Collaborate with cross-functional teams to provide data-driven solutions.
• Monitor and improve data quality used in decision-making.

Conhecimentos

Analytical thinking

Communication skills

Team collaboration

Problem-solving

Formação académica

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

Ferramentas

R

Python

SQL

SAS

Descrição da oferta de emprego

SummitLab in Faro, Portugal is seeking a Data Mining Analyst to extract and analyze large data sets, uncover patterns, and inform business decisions. A strong analytical mindset and proficiency with data mining tools are essential.

You will develop predictive models, present insights to stakeholders through reports and visuals, and collaborate with cross-functional teams to deliver data-driven solutions while continuously improving data quality.