Data Mining Analyst

BrightPath Engineering; Faro; Híbrido; EUR 11 000 - 13 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work options

Resumo da oferta

BrightPath Engineering in Faro, Portugal is seeking a Data Mining Analyst to analyze large datasets, identify patterns, and transform data into actionable insights. You will work with SQL, Python or R and visualization tools to support business decisions.

No prior experience required; we welcome all levels and offer a collaborative, data-driven environment with opportunities for growth. This is a full-time role based in Faro with potential remote options.

Qualificações

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Strong data mining knowledge and techniques.
• Proficient in SQL or other query languages.
• Experience with large datasets using R or Python.
• Familiarity with visualization tools like Tableau or Power BI.
• Excellent analytical and detail-oriented skills.
• Strong communication to present findings to stakeholders.

Responsabilidades

• Conduct data mining using clustering, classification, and association rule mining.
• Identify patterns and trends to support business decisions.
• Collaborate with cross-functional teams to define data needs.
• Extract and clean data from multiple sources with specialized software.
• Apply statistical methods and present findings clearly.
• Develop reports and visualizations to communicate results to stakeholders.
• Monitor data quality and identify areas for improvement.

Conhecimentos

SQL

Python

R

Tableau

Power BI

Data mining

Analytical thinking

Formação académica

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

Ferramentas

Tableau

Power BI

Python

R

SQL

Descrição da oferta de emprego

Profession Data Mining City Faro Portugal. As a Data Mining Analyst you will be responsible for analyzing large sets of data to identify patterns and trends that can be used to inform business decisions. You will work with various data sources and use specialized software and tools to extract clean and organize data. This role requires strong analytical skills, critical thinking and attention to detail.

Key Responsibilities

• Conducting data mining activities using various techniques such as clustering classification association rule mining
• Identifying patterns and trends in data sets to provide insights for business decision-making
• Collaborating with cross-functional teams to understand business needs and develop data mining strategies
• Extracting and cleaning data from multiple sources using specialized software
• Applying statistical methods to analyze data and present findings in a clear and concise manner
• Developing reports and visualizations to communicate results to stakeholders
• Continuously monitoring data quality and identifying areas for improvement

Requirements

• Bachelors degree in Mathematics, Statistics, Computer Science or related field
• Strong understanding of data mining principles and techniques
• Proficiency in SQL or other programming languages for querying databases
• Experience working with large datasets using tools such as R or Python
• Familiarity with visualization tools like Tableau or Power BI
• Excellent analytical skills with the ability to think critically and solve complex problems
• Attention to detail and the ability to work with large amounts of data accurately
• Strong communication skills with the ability to present findings to non-technical stakeholders

Salary

1200$ per month

Location

This is a full-time position located in Faro Portugal. However remote work options may be available.

Experience

No prior experience is required for this position. We welcome candidates of all levels who are eager to learn and grow in the field of data mining.

Our Company

We are a data-driven company that values innovation and collaboration. Our team is made up of diverse individuals who are passionate about using data to drive business success. We offer a dynamic work environment with opportunities for growth and development.