Data Analyst

Responsibilities:

Leading the data onboarding process of new customers.

Data parsing and normalization in order to turn data into actionable insights and make data-driven decisions.

Use big data tools to analyze real-time data of millions of connected vehicles and identify emerging threats.

Explore raw data of various customers, using data cleansing and data preparation tools and flows.

Research large scale and diverse automotive data sets to identify anomalies and create meaningful detectors that bring value to our customers.

Automate internal workloads using scripting languages.

Requirements:

At least 3 years of hands-on experience as a data analyst (military experience considered as well).

Solid experience in scripting languages (Python, R, or similar), with data analysis tools (Pandas, NumPy, or similar) - a must.

Experience in querying and analyzing large, complex data sets (SQL, ElasticSearch, Athena, or similar) - a must.

Striking analytical skills with the ability to identify, analyze, and interpret trends or patterns in complex data sets with great attention to detail.

Team player, effective interpersonal skills, and good vibes. Ability to communicate with both business and technical counterparts.

BA/B.Sc. in Statistics / Math / Engineering or equivalent combination of education, training, and experience - a must.

Experience in the following fields - Cybersecurity / Data Quality - an advantage.

Experience in Spark and Big data technologies – an advantage.