Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

WHAT’S THE OPPORTUNITY?

We are seeking a curious, detail-oriented Data Analyst with a passion for uncovering insights and driving process improvement through data. In this role, you’ll go beyond surface-level reporting to explore the “why” behind trends and metrics. You will collaborate across teams to identify inefficiencies, recommend enhancements, and support strategic decision-making through thoughtful analysis and storytelling with data.

WHAT SKILLS DO I NEED?

• 5+ years of experience in data analysis, with demonstrated problem-solving and insight generation
• Proficiency in SQL and at least one programming language such as Python
• Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Demonstrated curiosity, initiative, and a desire to go beyond the obvious in data exploration
• Strong communication and the ability to simplify complex findings for diverse audiences
• Solid understanding of business process and continuous improvement methodologies

BONUS SKILLS & ATTRIBUTES

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science and/or relevant certification e.g., Google Data Analytics
• Knowledge of statistical analysis and predictive modeling techniques

Please refer the Job description for details