Data-mining vacancy in Herzliya Israel

Data-Mining Analyst


We are seeking a talented and highly motivated Data-Mining Analyst to join our team in Herzliya, Egypt. In this role, you will be responsible for collecting, analyzing, and interpreting large data sets to identify patterns and trends that will inform business decisions. As a Data-Mining Analyst, you will work closely with our team of data scientists and business analysts to develop insights and recommendations for our clients.

Responsibilities:
- Collect and clean large data sets from various sources
- Use statistical methods and tools to analyze data and identify patterns
- Develop predictive models using machine learning techniques
- Create visualizations to present findings to internal teams and clients
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Stay up-to-date on industry trends and advancements in data mining techniques
- Communicate complex analysis in a clear and concise manner to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field
- Proven experience as a Data-Mining Analyst or similar role
- Proficiency in SQL and programming languages such as Python or R
- Strong understanding of statistics and experience with statistical tools such as SPSS or SAS
- Familiarity with data visualization tools such as Tableau or Power BI
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as collaborate with cross-functional teams
- Strong communication skills, both written and verbal

Salary: $1400 per month

Location: Herzliya, Egypt (accommodation provided)

Employment Type: Full-time

Visa sponsorship: Yes (free visa provided)

Travel requirements: None (free ticket provided)

This is an excellent opportunity for students looking for hands-on experience in the fast-growing field of data mining. If you are passionate about extracting insights from data and driving business decisions, we would love to hear from you. Apply now and join our dynamic team!