Data Analyst

Vonage Mission

Vonage is the emerging leader in the $100B+ cloud communications platform (CPaaS) market. Customers like Airbnb, Viber, Whatsapp, Snapchat, and many others depend on our APIs and SDKs to connect with their customers all over the world. As businesses continue to shift to a real-time, customer-centric communications model, we are experiencing a time of impressive growth.

 

What you'll do:

• 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.

What you'll bring:

Required:

• 3-5 years of experience in Data Analysis and/or Analytics. 
• Skilled in reporting and data visualization software (Tableau BI or similar)
• Exposure in Elasticsearch and its’ modules/extensions/language (Kibana, X-Pack, lucene query language)
• Experience with Python.
• Experience with SQL.

• Experience with version control systems like Git
• Creative and keen to learn new technologies
• Self-starter who is also comfortable working individually as well as part of a team. 
• Inquisitive mindset, with a strong eye for detail.
• Comfortable in planning, leading, and delivering complex data solutions to improve performance and to deliver improved alerts. 
• Have a strong quantitative analytical background and be able to draw out key information from large datasets. 
• Excellent communication skills, able to explain data concepts to non-technical audiences. 
• Project management skills with experience of working collaboratively with colleagues across large organizations

Desirable:

• 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 
• Computer Science degree preferred but not required.
  
  

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

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