Senior Analytics Engineer, AI – DX Analytics

🔥 1 minute ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $139k - $245.4k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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This company has sponsored H1B visas in the past.

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Block

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1990

💼 Consulting

📣 Marketing

💳 Fintech

Consulting • Marketing • Fintech

Block is a technology company that aims to increase access to the global economy through its various brands. Square provides commerce and financial services designed for sellers, while Cash App offers an easy platform for spending, sending, and storing money. Afterpay allows customers to manage their spending over time. Additionally, TIDAL empowers artists by providing them with tools for entrepreneurship, and Bitkey and Proto focus on bitcoin and related services. Together, these services contribute to building an open financial system accessible to everyone.

📋 Description

• Instrument and extend raw telemetry for AI usage, code changes, CI/CD activity, and spend • Partner with data engineers on production ETL pipelines, freshness monitoring, backfills, and alerting • Define and validate metrics from ambiguous or evolving signals • Build executive-facing dashboards and visualizations • Analyze metrics, anticipate executive questions, and provide recommendations • Translate technical findings into clear executive narratives • Use AI coding agents to write, test, and maintain pipelines, dashboards, and analyses • Partner with data engineering, applied AI, and data science teams • Identify where AI spend is ineffective or developer friction is costly and drive improvements • Develop methods to quantify AI and agent productivity impact

🎯 Requirements

• 8+ years in analytics engineering, data engineering, or business intelligence, owning production data pipelines and insights end to end • Strong SQL and Python, with hands-on experience building and operating data pipelines against a cloud data warehouse such as Snowflake • Experience partnering with engineering teams to instrument new event or telemetry data • Experience building dashboards or internal tools that non-technical stakeholders rely on to make decisions • Comfort with Git, CI/CD systems, and debugging production pipeline failures such as retries and backfills • Experience with a metrics-governance or semantic-layer system, such as a metrics store, dbt semantic layer, or LookML (even better) • Ability to use AI coding agents and rigorously evaluate their output • Experience with TypeScript and React, governed metrics stores, and LLM-based classification tooling (technologies used and taught)

🏖️ Benefits

• Remote work • Medical insurance • Flexible time off • Retirement savings plans • Modern family planning

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