Data-mining vacancy in Jerusalem Israel

Data Mining Analyst

We are in need of a highly skilled and experienced Data Mining Analyst to join our team in Jerusalem. The ideal candidate should possess strong analytical skills, be detail-oriented, and have a passion for data. In this role, you will be responsible for gathering and analyzing large sets of data to identify patterns and trends, as well as providing insights to inform business decisions. You will work closely with various teams to understand their needs and provide actionable recommendations based on the data collected. As a Data Mining Analyst, you should have a strong understanding of data mining techniques and tools, as well as experience working with databases and statistical software. This is an excellent opportunity for someone who is self-motivated, has excellent communication skills, and is looking to make an impact in a dynamic and fast-paced environment.

Salary: 1500$

City: Jerusalem

Country: Israel

Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics or related field
- Strong analytical skills with the ability to gather and interpret large sets of data
- Proficiency in data mining techniques such as clustering, regression analysis, decision trees
- Experience working with databases and statistical software (e.g. SQL, SAS)
- Excellent communication skills with the ability to present complex information in a clear and concise manner
- Detail-oriented with strong organizational skills
- Ability to work independently as well as collaboratively in a team environment
- Fluent English (Hebrew is a plus)

Responsibilities:
- Collecting large sets of structured/unstructured data from various sources
- Identifying patterns and trends through data mining techniques
- Analyzing results using statistical methods
- Providing insights and recommendations based on findings to inform business decisions
- Collaborating with other teams to understand their needs and provide relevant information
- Developing reports and visualizations to communicate findings effectively
- Continuously monitoring data quality to ensure accuracy and completeness
- Staying up-to-date with industry advancements and implementing new techniques to improve data mining processes.