Fixed shift timing: UK/EMEA hours
Who we are:
Vonage is a global cloud communications leader that helps businesses accelerate their digital transformation through our fully programmable Unified Communications, Contact Center Applications, and Communications APIs.
Why this role matters:
As a Data Analyst, you will be helping us on a journey towards a modern, self-serve analytics organization. You will get autonomy and ownership around large parts of how we interface with users, how they’re trained and around defining the boundary between “let me show you how to do this yourself” and “let me do this for you”.
Over the last couple of years, we’ve made significant investments into our data infrastructure and our data processing platform. This has improved the internal team processes, however, there is still room for improvement on enabling self-serve and using advanced analytics techniques to predict what will happen rather than what happened.
In this role, you’ll:
- Work closely with Sales & Marketing on upgrading their suite of reports to move to a self-service reporting environment driving efficiencies and cost savings
- Use data mining techniques and analyze core KPI's generating insight to reach and improve on the target goals
- Assist in annual budget planning and alignment
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Be our bridge and ambassador to the Sales & Marketing team, championing for self-service data analytics and maintaining relationships with power users
- Be responsible for coordinating our user facing “Data Academy” education initiative to make sure our users can make the most of the data and reporting that we have
- Work closely with the rest of the BI & Data team to help make sure the data engineering work being done is well aligned to stakeholder needs
We’re specifically not looking for someone to churn out reports for other people all day long.Given the size of the team vs the hundreds of users we support, a large part of your work would be focused on finding ways to scale analytics via empowering our users so they are able to do what they are trying to do independently (while having support and training, if they need it).
- Self-service analytics environment
- We’re using a modern analytics stack with Tableau as the visualization front-end and Snowflake as the DWH, where the majority of report development is done by our users, we also use Python, SQL and Airflow
- Rather than a report mill, the BI & Data team is there to empower and help users get their data and analytics work done themselves
What you’ll bring:
Required
- Bachelor’s Degree (preferably in Business, Economics, Statistics or Computer Science)
- At least 5+ years of relevant experience in data analytics role (preferably in a SaaS business)
- Advanced knowledge of fundamental analytical, statistical techniques, attribution results, forecasting, simulation and data optimization
- Understanding and experience working with Salesforce CRM
- Experience working independently with a wide range of stakeholders, from other analysts to senior management
- Strong technical capabilities with AWS Environments (Sagemaker, etc), SQL, data warehouses, ETL processes, and data integration tools (Python, R coding/familiarity a plus)
- Skilled in Tableau or other BI Tools
Desirable
- MBA or Master’s Degree (preferably in Financial Analytics, Data Science, Operations Research, Industrial Engineering or Computer Science)
- Understanding of Sales & Marketing go to market motions, Campaign Performance measurement, and ROI measurement
- Marketing or Sales background either through education or experience
- Have experience driving self-service analytics adoption in a scalable way
- Worked in an agile environment and were able to bring structure where there was none before
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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