Senior Analytics Engineer, AI & DX Analytics

Block
San Francisco
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsSkills: ["Communication","Cross-team collaboration","Executive presentation","Stakeholder alignment","Methodology explanation"]

Own end-to-end analytics engineering for AI & developer experience: instrument new telemetry on AI usage, code changes, CI/CD activity, and spend, then build governed production pipelines and metrics. Turn governed metrics into polished executive dashboards, charts, and narratives that guide AI investment decisions and ROI improvements. Use AI coding agents throughout development, collaborate with data engineering and applied AI teams, and help debug pipeline issues to ensure decision-ready reporting.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Block
Block
4 days ago

Senior Analytics Engineer, AI & DX Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Own end-to-end analytics engineering for AI & developer experience: instrument new telemetry on AI usage, code changes, CI/CD activity, and spend, then build governed production pipelines and metrics. Turn governed metrics into polished executive dashboards, charts, and narratives that guide AI investment decisions and ROI improvements. Use AI coding agents throughout development, collaborate with data engineering and applied AI teams, and help debug pipeline issues to ensure decision-ready reporting.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Instrument and extend telemetry for AI usage, code changes, CI/CD activity, and spend by building new data capture.
  • •Partner with data engineering on production ETL pipelines into governed tables with freshness monitoring, backfills, and alerting.
  • •Define new metrics from ambiguous or evolving signals and validate/reconcile them until trustworthy.
  • •Build and ship executive-facing dashboards and visualizations, delivering decision-ready reporting with executive-level polish.
  • •Use AI coding agents as a default for building, testing, and maintaining pipelines and analyses, and translate insights into recommendations while debugging production pipeline failures.

Pay and Benefits

Perks:Remote WorkHealth InsuranceFlexible TimeRetirement SavingsFamily Planning

Key Requirements

  • •8+ years in analytics engineering, data engineering, or business intelligence, owning production data pipelines and insights end to end.
  • •Background in developer experience, engineering productivity, measuring AI effectiveness, or platform analytics.
  • •Strong SQL and Python, with hands-on experience building and operating pipelines on a cloud data warehouse such as Snowflake.
  • •Experience partnering with engineering teams to define and instrument new event or telemetry data.
  • •Experience building dashboards or internal tools for non-technical stakeholders, including owning dashboard performance and data layer (query profiling, caching/prequery work, and UI updates in React if needed).
Experience:8+ years
Skills:CommunicationCross-team collaborationExecutive presentationStakeholder alignmentMethodology explanation
Languages:English
Tech Stack:SQLSnowflakePythonTypeScriptReactGitCI/CDAI coding agentsLLM-based classification toolingETLDashboardsMetrics storeDbt semantic layerLookML

Company Brief

Block
Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn