Lead Product Analyst

Braze Braze · Enterprise · New York, NY · Growth

Product Analyst role focused on data storytelling, quantitative analysis of feature engagement, and influencing product roadmap. The role involves overseeing data ingestion, refining semantic models, and providing deep-dive analysis. While not building AI models, the role uses AI tools to accelerate development and insight generation, and works with data that fuels AI initiatives.

What you'd actually do

  1. Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
  2. Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
  3. Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
  4. Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
  5. Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

Skills

Required

  • SQL
  • Python
  • R
  • Data Modeling
  • Data Analysis
  • BI tools
  • Statistical techniques
  • Data visualization

Nice to have

  • dbt
  • Airflow
  • Snowflake
  • BigQuery
  • NoSQL
  • MongoDB
  • Redis
  • Claude Code
  • GitHub Copilot
  • Cross-functional leadership

What the JD emphasized

  • 5+ years in BI, Data Analysis, and Data Modeling
  • 5+ years of experience writing complex, performant queries
  • Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
  • Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
  • Firm grasp of advanced statistical techniques