Senior Data Analyst

Why this role matters:

As a Senior Data Analyst, you will be responsible for transforming complex datasets into actionable insights that drive business strategy and decision making. You will bridge the gap between the raw data and impactful business intelligence, playing a vital role in identifying trends, optimizing processes, and supporting key stakeholders across various departments.

As a Senior Data Analyst, you will also 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.

Your key responsibilities:

• Collaborate with cross-functional teams (e.g., Finance, Product, Customer Experience, Marketing) to align data initiatives with business goals and challenges.
• Develop strategies and insights to drive customer revenue growth and enhance the overall customer experience.
• Utilize advanced analytics, including predictive modeling and data mining, to identify patterns, forecast trends, and support target achievement.
• Translate complex data analyses into clear, actionable reports and presentations for both technical and non-technical stakeholders.
• Lead and advocate for self-service analytics across the organization, including managing relationships with data power users.
• Coordinate and promote the internal “Data Academy” to empower teams to better understand and leverage available data and reporting tools.
• Contribute to data strategy and planning by assisting in budget alignment and ensuring BI and data engineering efforts meet stakeholder needs and priorities.

We’re specifically not looking for someone to churn out reports for other people all day long. 

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
• Going forward, we are looking to transition to querying the data using natural language.

What you will bring:

Required:

• Bachelor's degree (preferably in Business, Economics, Statistics, or Computer Science) with 5+ years of experience in data analytics, ideally in a SaaS environment; advanced degrees (MBA or Master's in Financial Analytics, Data Science, etc.) are a plus.
• Proven experience working independently and collaboratively with a wide range of stakeholders, including senior leadership.
• Expertise in analytical and statistical techniques, including forecasting, attribution modeling, simulation, and data optimization.
• Proficient in SQL, data warehousing, and data integration tools; familiarity with Python or R is a plus.
• Knowledge of machine learning, Generative AI (GenAI), and Agentic AI is a plus.
• Skilled in using BI tools such as Tableau to visualize and communicate data insights effectively.
• Strong communication, problem-solving, and critical thinking skills, with the ability to explain complex data to non-technical audiences and work well in cross-functional teams.

Experience we consider a plus:

• 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.

How you’ll benefit:

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. #LI-RE1