Remote Senior Analytics Engineer: AI & DX Metrics Leader

Block; United States; Remote; USD 139,000 - 245,000; Full time

Benefits offered by this job

Remote work options

Medical insurance

Flexible time off

Retirement savings plans

Family planning benefits

Job summary

block is seeking a Senior Analytics Engineer to measure and improve developer experience and AI investment across a large engineering organization. The role intersects raw telemetry with executive reporting, instrumenting new signals and landing them in governed tables for fresh metrics and compelling dashboards.

You will build production pipelines with a focus on SQL, Python, and Snowflake, partner with data engineering and applied AI teams, and deliver decision-ready reporting for senior

Qualifications

• 8+ years in analytics engineering, data engineering, or business intelligence.
• Experience in developer experience, engineering productivity, measuring AI effectiveness, or platform analytics.
• Strong SQL and Python, with hands-on experience building and operating pipelines against a cloud data warehouse such as Snowflake.
• Experience partnering with engineering teams to instrument new event or telemetry data.
• Track record building dashboards or internal tools for non-technical stakeholders.
• Comfort owning a dashboard's data layer and performance, with frontend changes in React.
• Proficiency with git, CI/CD, and debugging production pipeline failures.
• Daily workflow built around AI coding agents as a primary tool.

Responsibilities

• Design and extend telemetry that captures AI usage, code changes, CI/CD activity, and AI tooling spend, building new event capture.
• Partner with data engineers on production ETL pipelines with freshness monitoring, backfills, and alerting.
• Define new metrics from evolving signals and validate them until stakeholders trust the numbers.
• Build executive-facing dashboards and visualizations for decision-ready reporting.
• Run analysis behind new charts, anticipate executive questions, and deliver defensible recommendations.
• Collaborate with data engineering, applied AI, and data science teams to end-to-end data flows into dashboards.
• Translate findings into concrete actions and flag where AI spend underperforms.
• Use AI coding agents as a default tool for writing and maintaining pipelines and analyses.

Skills

SQL

Python

Data pipelines

Dashboarding

Communication

Git

CI/CD

Tools

Snowflake

Job description

block is seeking a Senior Analytics Engineer to measure and improve developer experience and AI investment across a large engineering organization. The role intersects raw telemetry with executive reporting, instrumenting new signals and landing them in governed tables for fresh metrics and compelling dashboards.

You will build production pipelines with a focus on SQL, Python, and Snowflake, partner with data engineering and applied AI teams, and deliver decision-ready reporting for senior