As a key member of our core Data & Analytics team, you will work closely with decision-makers within the Product department. In this role, you will drive analysis into our business health and stand at the forefront of identifying actionable trends, challenges, and opportunities.
With limitless potential, you will help shape and prioritize our strategic decisions using data-driven insights and thoughtful, passionate recommendations. This isnt your typical analyst role, it is a highly visible position where you will help scale our operational cadence and grow into an influential leader within the company.
** This position is temporary for a duration of 8 months, with an option to extend
What You'll Own
Work closely with our Product Managers to monitor, measure, and drive clarity around product performance across both self-serve (B2C/PLG) and enterprise (B2B) user journeys.
Analyze complex, customer-reported data issues and collaborate closely with R&D and Product Managers to resolve them.
Build and maintain the companys core reports and dashboards, balancing your focus across analytics, strategy, process, and infrastructure.
Define and track KPIs for various departments, equipping them with the tools and insights needed to take data-backed action.
Partner with Marketing to analyze acquisition, activation, and conversion funnels, measuring campaign and channel effectiveness end-to-end.
Bring new perspectives and innovative ideas to the table, and continuously measure their impact on the business.
Lead the way to consume data through a single, unified source of truth.
3+ years of experience in a Product/Data Analyst role (Must-have).
Proven SQL proficiency with strong query capabilities.
Hands-on experience with AI/LLM tooling in an analytics context, including building AI agents, RAG/vector search systems, or automation workflows (n8n or similar) – A strong advantage.
Experience analyzing B2B/B2C Product-Led Growth (PLG) products – An advantage.
Experience in B2B SaaS product analysis – An advantage.
Exceptional quantitative and analytical skills.
Experience in data modeling and building ETL pipelines – An advantage.
Excellent English communication skills, both verbal and written.
Experience working with Tableau BI – An advantage.
