πIsrael
Data Analyst

Vonage
πRemote - Poland
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Summary
Join Vonage and contribute to innovating cloud communications! As a Data Analyst with Machine Learning experience, you will design, build, and optimize ML-driven fraud detection models, enhance real-time alerting, and contribute to core data infrastructure and automation. You will support monitoring needs, data analytics, testing, and automation; build, maintain, and improve alerts; assist the Fraud team in identifying fraudulent activity; and liaise with Data and Core teams to improve data consumption. This role requires collaboration across internal functions to solve technical challenges. Vonage offers various benefits including medical, life insurance, discretionary time off, and volunteer time.
Requirements
- 3-5 years of experience in Data Analytics
- Skilled in reporting and data visualization software (Tableau BI or similar)
- Exposure in Elasticsearch and itsβ modules/extensions/language (Kibana, X-Pack)
- Experience with Python
- Experience with SQL
- Experience with version control systems like Git
- Creative and keen to learn new technologies and great team player
Responsibilities
- Support the technical execution of our monitoring needs, data analytics, testing, and automation
- Build, Maintain and Improve alerts on identified fields of each function of our team, to better Monitor and support our products
- Assist the Fraud team in Telecom Fraud and Compliance by developing new alerts and algorithms to identify fraudulent activity within the Vonage Network
- Liaise with our Data and Core teams to identify ways of improving the Data consumption for our projects and framework
- Work through a variety of technical challenges that will require creativity and close collaboration across internal functions
Preferred Qualifications
- Understanding of the b2b cloud communications industry, including but not limited to WebRTC, A2P messaging (Kafka), or VoIP
- Experience / Familiarity in Telecom Fraud - SMS and Voice
- Experience in writing ETL/ELTs
- Experience with Machine Learning libraries
Benefits
- Medical Insurance
- Glasses
- Life Insurance - Allianz
- My Benefit
- Ericsson Care Line
- Discretionary Time Off (DTO)
- Volunteer Time (VTO)
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