Data-mining Analyst
Clairvaux, France
As a Data-mining Analyst, you will be responsible for collecting and analyzing large sets of data to identify patterns and trends. You will work closely with other members of the data team to develop and implement effective data mining strategies. Your role will involve creating reports, visualizations, and dashboards to present findings to key stakeholders. This position requires strong analytical skills, attention to detail, and the ability to work independently. Knowledge of data mining tools and techniques is essential, as well as strong proficiency in SQL and programming languages such as Python or R. Previous experience in a data-related role is preferred but not required. This is a great opportunity for someone looking to gain experience in the field of data analysis while working in a dynamic and collaborative environment.
Salary: 1200$ per month.
City: Clairvaux, France.
Requirements:
- Bachelor's degree in computer science, statistics, mathematics or a related field.
- Strong analytical skills with the ability to collect, organize, analyze and interpret large datasets.
- Proficiency in SQL and programming languages such as Python or R.
- Experience with data mining tools such as Tableau or SAS.
- Attention to detail and ability to work independently.
- Excellent communication skills with the ability to present complex information in a clear and concise manner.
- Ability to work well within a team environment.
Responsibilities:
- Collecting large datasets from various sources and organizing them for analysis.
- Identifying patterns and trends within the data using statistical methods.
- Developing effective data mining strategies in collaboration with other members of the team.
- Creating reports, visualizations, and dashboards to present findings to key stakeholders.
- Communicating results of data analysis in a clear and concise manner.
- Continuously monitoring the quality of data used for analysis.
- Staying up-to-date with industry trends and advancements in data mining techniques.
- Collaborating with other departments to understand their data needs and provide relevant insights.
- Participating in team meetings to discuss progress and potential areas for improvement.
Benefits:
- Competitive salary.
- Opportunity to gain valuable experience in the field of data analysis.
- Dynamic and collaborative work environment.
- Opportunities for professional growth and development.
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views: 1.9K
valid through: 2025-11-11