Remote Data Mining Analyst - Part-Time, Impactful Insights

EliteHire; Faro; Remote; EUR 15,000 - 19,000; Part time

Benefits offered by this job

Accommodation provided

Job summary

EliteHire seeks a Data Mining Analyst in Faro, Portugal to analyze large data sets, identify patterns, and inform decisions. The role offers remote work options and a part-time schedule of 20 hours per week.

You will collect, clean, and organize data, apply statistical methods and machine learning where appropriate, and present insights through reports and visualizations. Collaboration with cross-functional teams is essential to align data findings with business needs.

Qualifications

• Bachelor's degree in data science, statistics, or a related field.
• Proven experience as a Data Mining Analyst or similar role.
• Proficiency in SQL, Python, or R.
• Familiarity with Tableau or Power BI for data visualization.
• Strong analytical skills to interpret large datasets.

Responsibilities

• Collect and organize data from various sources.
• Clean and format data for analysis.
• Apply statistical methods and machine learning techniques to analyze data.
• Identify patterns, trends, and outliers in the data.
• Create reports and visualizations to present findings.
• Collaborate with cross-functional teams to understand business needs.
• Provide insights and recommendations based on data analysis.
• Maintain databases and ensure data security.

Skills

SQL

Python

R

Data analysis

Communication skills

Education

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

Tools

Tableau

Power BI

Job description

EliteHire seeks a Data Mining Analyst in Faro, Portugal to analyze large data sets, identify patterns, and inform decisions. The role offers remote work options and a part-time schedule of 20 hours per week.

You will collect, clean, and organize data, apply statistical methods and machine learning where appropriate, and present insights through reports and visualizations. Collaboration with cross-functional teams is essential to align data findings with business needs.