EliteHire
pt / Global
Data Mining Analyst
- Remote
- Tempo parcial
pt / Global
Data Mining Analyst
As a Data Mining Analyst, you will be responsible for analyzing large sets of data to identify patterns, trends, and insights that will inform decision-making and improve business processes. You will work with various teams to gather data and use specialized tools and techniques to clean, organize, and analyze it. Your findings will be presented in reports and visualizations to aid in business strategy and decision making.
Responsibilities
Collecting and organizing data from various sources
Cleaning and formatting data for analysis
Using statistical methods and machine learning techniques to analyze data
Identifying patterns, trends, and outliers in the data
Creating reports and visualizations to present findings
Collaborating with cross-functional teams to understand business needs
Providing insights and recommendations based on data analysis
Maintaining databases and implementing data security measures
Requirements
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, R, or other programming languages
Familiarity with data visualization tools such as Tableau or Power BI
Strong analytical skills with the ability to collect, organize, analyze, interpret large datasets
Knowledge of statistical methods including regression analysis, clustering techniques
Experience with machine learning algorithms is a plus
Excellent communication skills with the ability to present complex information in a clear and concise manner
Location: Faro (Remote work is also possible)
Salary: 1500$ per month (Negotiable based on experience)
Work Schedule: Part-time (20 hours per week)
Accommodation: Provided by the company if needed.
This position is suitable for both men and women who possess the required skills and qualifications. We are an equal opportunity employer committed to diversity and inclusion in our workplace.
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Portugal / Global
Portugal / Global
Portugal / Global
pt / Global
pt / Global
Portugal / Global