Lead Data Analyst

Lead Data Analyst (Lead Individual Contributor)

Join Point to help transform analytics from reporting what happened to explaining why and recommending what to do next.

Role overview

• You will be the most senior analyst on the team and the standard-bearer for the shift toward causal, decision-grade analytics.
• Lead a function that becomes an analytical partner to Product, Marketing, and Operations (with potential for direct reports).

Responsibilities

• Own core business metrics: define them with integrity, establish a “single source of truth,” and align stakeholders.
• Drive end-to-end analyses on the highest-stakes questions:
  • frame the problem
  • apply causal/statistical rigor
  • deliver a written recommendation the business can act on
  • run retrospective reads to evaluate whether prior bets worked
• Design and interpret experiments & causal analyses:
  • separate correlation from causation
  • quantify tradeoffs, elasticities, and decision metrics with confidence
• Embed with senior leaders across product, marketing, and operations to anticipate questions and proactively surface insights.
• Translate business logic into documented metric definitions and the semantic layer powering self-serve analytics and AI-driven data access.
• Set the analytical standard: ensure rigorous, reproducible work and mentor others.

Requirements

• 8+ years in analytics, data science, or quantitative decision-science with a history of analyses that changed decisions.
• Deep SQL and strong data warehouse fluency (Snowflake and dbt are a plus).
• Ability to handle messy/imperfect data while reasoning rigorously about reliability.
• Strong statistical foundation including causal inference, experimentation, and regression.
• Excellent communication and ability to frame ambiguous problems for senior non-technical stakeholders.
• Track record influencing decisions without formal authority.

Bonus / Nice-to-haves

• Experience in fintech, lending, mortgage, or real estate.
• Hands-on experience with AI-assisted analytics (LLMs, semantic layers, self-serve tooling).