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DRS RADA TECHNOLOGIES

Junior Data Analyst - Student Position

DRS RADA TECHNOLOGIES Netanya, Center District, Israel

Defense and Space Manufacturing · 501-1,000 employees

6 h ago
data-analyst Junior (0-2 yrs) Part-time Israel
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About the role

The role involves developing data analysis tools and collaborating with cross-functional teams to collect and tag field experiments. Additionally, the analyst will support R&D by processing datasets to extract meaningful, data-driven insights.

What they look for

Python Pyspark Pandas Plotly SQL Databricks Radar signal processing Statistical analysis Experimental design Data analysis Data tagging Data collection Big data technologies Pattern recognition

Requirements

Candidates must be students with at least one year remaining in a degree program related to data engineering or statistics. Proficiency in Python, SQL, and data analysis tools is required, along with the ability to work at least 80% of a full-time position.

Full description

DRS RADA is a global pioneer of radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.We are looking for a B.Sc student with analytical capabilities to join our team.

Key Responsibilities:

  • Data Collection
  • Develop and maintain data analysis and tagging tools.
  • Collaborate with cross-functional teams to collect experiments.
  • Experiments Analysis
  • Analyze and tag field experiments.
  • R&D Data Analysis Support
  • Analyze datasets to extract meaningful data-based insights.

Requirements

  • Student with at least 1 year left, working towards a degree in data engineering, statistics, or a related field.
  • Work availability of at least 80% position.

Skills:

  • Proficiency in data analysis tools and languages (Python, Advantage- pyspark, Pandas, Plotly, SQL).
  • Experience working with big data technologies, preferably Databricks (an advantage).
  • Familiarity with radar signal processing (an advantage).
  • Experience with statistical analysis and experimental design.
  • Ability to quickly learn new data tools.
  • Ability to identify patterns, trends, and outliers in data.
  • Exceptional attention to detail in data analysis and reporting.
  • Enthusiastic about data with a strong interest in exploring and analyzing large-scale datasets

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