Requirements

Expected technologies

SQL

Python

R

Tableau

Looker

Shiny

Operating system

Linux

Our requirements

Technical Expertise

5+ years in product/data analytics, BI, or data science Proficiency in SQL and either Python or R Strong experience with data visualization tools like Tableau, Looker, or Shiny

Analytical & Strategic Mindset

Ability to turn complex data into clear narratives and business recommendations Experience with retention analysis, cohort modeling, and statistical inference Familiarity with Mixpanel, Pendo, or similar product analytics tools

Communication & Initiative

Excellent written and verbal English Strong self-drive; comfortable working independently and proactively Experience in a B2B SaaS environment is a strong plus

Your responsibilities

Product Data Strategy & Ownership

Define and evolve product usage KPIs and performance metrics Create frameworks for monitoring feature adoption, churn, and customer behavior Design and maintain product dashboards and reporting infrastructure

Advanced Analytics & Insight Generation

Apply statistical models and predictive analytics to uncover actionable insights Model upsell and expansion opportunities based on usage data Conduct funnel analysis, retention tracking, and customer segmentation

Stakeholder Collaboration

Work closely with product managers, engineers, and GTM teams to align on business priorities Share learnings through clear, tailored communications and visualizations Partner with data engineers to improve data infrastructure and reporting