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Senior Analytics Engineer

2 Locations💼 Full-time🗓 2026-06-10 → 2026-07-30

Core

Building canonical golden data assets, self-serve data capabilities, and dashboards to drive customer success decisions and product adoption.

Role type

Senior Analytics Engineer (Data Product Lead)

Builds

Canonical datasets, self-serve analytics frameworks, dashboards, and APIs for Customer Success teams.

Domain

SaaS / Customer Success / Data Engineering

Deliverable

production ML models | dashboards & analysis | product features

Required skills

Advanced SQL, Statistical Literacy, agentic AI skills, Python, Tableau, Git, CI/CD pipelines, Data Governance, North Star Metrics definition, Probability distributions, Hypothesis testing

Preferred skills

Salesforce ecosystem familiarity, Prompt Engineering for Data, Augmented Analytics, Executive storytelling

Technologies

Snowflake, Python, Tableau, Git, CI/CD pipelines, Claude Code, Gemini

Responsibilities

Champion development of single-source-of-truth golden data assets; Build self-serve data capabilities; Partner with leadership to prioritize high-value data opportunities; Work across Data Engineering and Data Science teams; Own target setting and success metrics for the CS portfolio; Establish product development practices; Define data instrumentation strategy and governance; Define "North Star" Metrics.

Seniority

Senior, hands-on IC with strategic vision

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