Data-mining vacancy in Wiltz Luxembourg

Data Mining Analyst
Location: Wiltz, Canada/Kenya (preference but not required)


We are hiring a Data Mining Analyst to join our growing team in Wiltz. As a Data Mining Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets using various data mining tools and techniques. Your goal will be to identify patterns and trends that can help inform business decisions and strategies.

Responsibilities:
- Collect and organize large datasets from various sources
- Use data mining tools and techniques to extract relevant information
- Analyze data to identify patterns and trends
- Communicate findings to team members and stakeholders
- Develop data models to support business objectives
- Collaborate with cross-functional teams to improve data collection and analysis processes

Requirements:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- Proven experience in data mining or analysis role
- Proficient in SQL, Python, R or other programming languages used for data mining
- Strong analytical skills with the ability to collect, organize, analyze, and interpret large datasets
- Experience with data visualization tools such as Tableau or Power BI is a plus
- Excellent communication skills with the ability to present complex findings in a clear and concise manner

Salary:
$1100 per month (negotiable based on experience)

Contract Type:
Full-time contract with the possibility of extension

Accommodation:
Accommodation can be provided for candidates who require it.

Visa Sponsorship:
We are open to sponsoring work visas for qualified candidates.

Experience Level:
Previous experience in a data mining or analysis role is required.

Language Requirements:
Fluency in English is preferred but not required. Good communication skills are essential.

We are an equal opportunity employer and welcome applications from all qualified individuals regardless of their race, gender, religion, nationality or any other legally protected characteristics. If you have a passion for data and want to be part of a dynamic and growing team, we encourage you to apply for this position.