Note: The job is a remote job and is open to candidates in USA. Block builds technology and financial tools through brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto to help create an open economy. The Senior Analytics Engineer will own AI and developer-experience analytics pipelines end to end, from telemetry instrumentation and governed data pipelines to executive-facing dashboards and analysis that guide AI investment and improve developer experience.
Responsibilities
- Instrument and extend the raw telemetry captured about AI usage, code changes, CI/CD activity, and spend — building new data capture, not only transforming what already exists. This is core to the role, as evolving AI tools and increased AI adoption constantly creates new signals that need to be captured
- Partner with data engineers on production ETL pipelines that land that telemetry into governed tables, with the freshness monitoring, backfills, and alerting that keep it trustworthy, rather than a one-off script
- Define new metrics out of ambiguous or evolving signals, and earn stakeholder trust in a new number by validating and reconciling it until it holds up
- Build and ship the executive-facing dashboards and visualizations that turn governed metrics into decision-ready reporting — with the polish and precision a room of executives will scrutinize
- Run the analysis that a new chart or metric needs and anticipate questions that an executive audience will ask, then bring senior stakeholders a recommendation, not just a number, and defend the methodology behind both
- Translate complex, technical findings into a clear narrative: the headline chart and the one sentence that makes an executive act on it
- Use AI coding agents as a default part of how you write, test, and maintain data pipelines, dashboards, and analyses
- Partner across data engineering, applied AI, and data science teams to keep telemetry connected end to end — the raw signal you capture directly feeds the session classifiers, not just the dashboards you build
- Turn what the data shows into action: flag where AI spend isn't paying off or where developer friction is most costly, and push the tooling, process, or investment changes that address it
Skills
- 8+ years in analytics engineering, data engineering, or business intelligence, with a track record of owning production data pipelines and insights end to end, not just writing ad hoc queries
- Background in developer experience, engineering productivity, measuring AI effectiveness, or platform analytics
- 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 define and instrument new event or telemetry data, not only transforming data that is already captured
- Experience building dashboards or internal tools that non-technical stakeholders rely on to make decisions, and the judgment to know when something is decision-ready versus still an analysis
- Comfortable owning a dashboard's performance and data layer, not just its charts — able to profile a slow query, rework a caching or prequery layer, and ship the frontend changes yourself in a framework like React; we'll help you ramp up if this is new
- Comfort with git, CI/CD systems, and debugging production pipeline failures such as retries and backfills
- Workflows built around AI coding agents as a primary tool for writing and maintaining code
- Strong written and verbal communication, with experience presenting technical findings and methodology directly to senior stakeholders
- A track record of producing polished charts and materials for executive audiences — comfortable sweating details like labeling, framing, and precision
- Demonstrated ability to lead cross-team collaboration
- Experience with a metrics-governance or semantic-layer system, such as a metrics store, dbt semantic layer, or LookML
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Company Overview
Company H1B Sponsorship