Data Analyst

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.

Why this role matters

As the Data Analyst on our team, your role is instrumental in shaping our data into a compelling narrative that drives informed decision-making. Data is the lifeblood of our organization, and your expertise will be a catalyst for positive change. By harnessing your analytical skills, you will empower us to enhance the quality and efficiency of the services we offer to both our internal and external stakeholders. Through data analytics and alerting, you will play a pivotal role in optimizing our operations, improving customer experiences.

If this sounds like you, continue reading below: 

What you will 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.
• 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 will bring

• The ability to work with cutting-edge data analytics tools and technologies will be a valuable asset in harnessing the full potential of our data resources. You will not only monitor and analyze data but also develop alerting mechanisms to identify anomalies, trends, and potential issues in real-time, ensuring a proactive approach to problem-solving.

What is required for application

• 3-5 years of experience in Data Analysis and/or Analytics.
• Skills 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.
• Being creative and keen to learn new technologies.
• Being a self-starter who is also comfortable working individually as well as part of a team.
• Having an inquisitive mindset, with a strong eye for detail.
• Feeling comfortable with planning, leading, and delivering complex data solutions to improve performance and to deliver improved alerts.
• Strong quantitative analytical background and being able to draw out key information from large datasets.
• Excellent communication skills and the ability to explain data concepts to non-technical audiences.
• Project management skills with experience of working collaboratively with colleagues across large organizations

Nice to have

• Understanding of the b2b cloud communications industry, including but not limited to WebRTC, A2P messaging (Kafka), or VoIP.
• Experience in writing ETL/ELTs
• Experience with Machine Learning libraries
• Computer Science degree preferred but not required.