Senior Analytics Engineer, AI & DX Analytics

Block

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$163,600–$245,400 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $204k
$111k most similar roles pay here $260k

This role pays more than 75% of similar roles. Most pay $149,500–$203,375 — the shaded band above. At the midpoint, this role pays about $204k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 54 open roles on FindRole.

Listed pay typically runs $202,960–$304,440 across 54 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Senior Analytics Engineer, AI & DX Analytics

Careers - Senior Analytics Engineer, AI & DX Analytics joins the AI & DX Analytics team to measure and improve developer experience and investment in AI. This role involves owning the end-to-end pipeline by instrumenting new telemetry at the source, building production pipelines for governed data, and creating executive-facing dashboards that translate complex technical findings into actionable narratives. The position focuses on solving the industry-wide challenge of quantifying the productivity impact of an AI-augmented engineering workforce. Key responsibilities include defining metrics from messy signals and partnering with data engineering and applied AI teams to ensure telemetry remains connected. Candidates must be proficient in SQL, Python, TypeScript, React, Git, and CI/CD systems while utilizing AI coding agents as a standard tool. Experience with Snowflake, governed metrics stores, and LLM-based classification tools is also required for this high-visibility role.

What you'll do

  • Instrument and extend raw telemetry for AI usage, code changes, CI/CD activity, and spend.
  • Build production ETL pipelines to transform raw data into governed tables with monitoring and alerting.
  • Define new metrics from ambiguous signals and validate them to ensure accuracy for executive use.
  • Create polished, executive-facing dashboards and visualizations that translate complex findings into actionable narratives.
  • Use AI coding agents as a primary tool to build and maintain data pipelines and reports.
  • Partner with engineering and data science teams to ensure telemetry is connected across the entire lifecycle.
  • Identify areas where AI spend is underperforming or developer friction is high to drive investment changes.
  • Establish new industry standards for measuring the productivity impact of an AI-augmented workforce.

What we're looking for

  • 8+ years of experience in analytics engineering, data engineering, or business intelligence.
  • Proficiency in SQL and Python for building and operating production data pipelines.
  • Experience building dashboards or internal tools used by non-technical stakeholders for decision-making.
  • Experience partnering with engineering teams to instrument new event or telemetry data.
  • Proficiency with Git, CI/CD systems, and debugging production pipeline failures like retries and backfills.
  • Ability to translate complex technical findings into clear narratives for executive audiences.
  • Commitment to using AI coding agents as a standard part of the development workflow.
  • Experience with metrics-governance or semantic-layer systems such as dbt or LookML (preferred).

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