Data Analyst

Upstream’s awesome data team is looking for a passionate Data Analyst to explore and extract insights from millions of connected vehicles on the road. In this role, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.

Upstream is a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles’ revolution from a different angle. You will play a major role in the company’s engagements, research large complex datasets, and use cutting-edge tools and methodology.

This role is full-time and is Israel based.

Requirements:

At least 3 years of hands-on experience as a data analyst (military experience considered as well).
Solid experience in scripting languages (Python, JavaScript, 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, with effective interpersonal skills, initiative, and good vibes. Ability to communicate with both business and technical counterparts, and with executive skills.
BA/B.Sc. in Statistics / Math / Engineering or equivalent combination of education, training, and experience - a must.
Experience in the fields of Automotive, Cybersecurity, Data Observability, and IoT infrastructure - an advantage.
Experience with network and messaging protocols such as HTTP, OCPP, MQTT, and CoAP - an advantage.

Upstream is an equal-opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.

Responsibilities:

Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.
Automate internal processes using scripting languages.