Senior Data Analyst at Vonage

Join Vonage and help us innovate cloud communications for businesses worldwide! Vonage BI & Data Team Mission We are a highly creative, energetic and results-oriented team that owns data and analytics delivery for the entire organization. This starts from data ingestion to corporate dashboards and includes data analytics to drive actions. The successful candidate is passionate about understanding customer needs, motivations, and behavior and enjoys discovering insights that help us deliver better outcomes like revenue growth, better customer experience, customer engagement and customer retention. Why this role matters As a Business 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. What you will do • Work closely with Sales & Marketing on upgrading their suite of reports and dashboards, moving toward a self-service reporting environment that drives efficiencies and cost savings. • Use data mining, advanced analytics, and AI/ML techniques to analyze core KPIs, identify patterns, and generate actionable insights to help teams meet and exceed target goals. • Partner with stakeholders to evaluate and implement AI/ML-driven forecasting, attribution, and optimization models that improve decision-making and campaign performance. • Assist in annual budget planning and alignment by providing predictive modeling and scenario simulations. • Serve as the bridge and ambassador to the Sales & Marketing team—championing self-service analytics, advocating for AI/ML adoption where it adds value, and maintaining strong relationships with power users. • Coordinate and expand our user-facing “Data Academy” education initiative, ensuring business users understand not only the data and reporting available, but also how to responsibly leverage AI/ML tools and outputs in their workflows. • Collaborate with the BI & Data team to align data engineering and AI/ML pipelines with business requirements, ensuring the right data is accessible for analysis, modeling, and reporting. 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 will bring We’re looking for an experienced analytics professional with practical experience implementing and scaling self-service analytics in a mid-sized organization. What is required Required Qualifications • Bachelor’s Degree in Business, Economics, Statistics, Computer Science, or related field • 5+ years of experience in data analytics (preferably in a SaaS business) • Advanced knowledge of analytical and statistical techniques, including attribution, forecasting, simulation, and data optimization • Strong technical capabilities with SQL, data warehouses, ETL processes, and AWS/cloud environments (e.g., SageMaker, Databricks, Snowflake, Vertex AI) • Familiarity with machine learning concepts (supervised/unsupervised learning, feature engineering, model evaluation, overfitting/underfitting) and the AI/ML lifecycle (data preparation → model development → deployment → monitoring) • Proficiency with business intelligence and visualization tools (Tableau, Power BI, or similar) • Strong understanding of Sales & Marketing go-to-market motions, campaign performance measurement, and ROI analysis • Experience working with Salesforce CRM • Proven ability to work independently and collaborate with stakeholders at all levels, including senior management Preferred Qualifications • Familiarity with Python or R for data wrangling and ML experimentation • Awareness of generative AI applications (prompt engineering, LLM evaluation, workflow integration) • Marketing or Sales background (through education or professional experience) Bonus points if you: • 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 What’s in it for you In addition to providing exciting work, career advancement opportunities, and a collaborative work environment, Vonage provides competitive pay and benefits including unlimited discretionary time off. There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you. To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice. Who we are: Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today. 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.