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Chainstack 🛠️💙

The leading suite of services connecting developers with Web3 infrastructure.

Senior Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Singapore

Posted

90 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAirflowGrafanaPrometheusPythonSQLWeb3

Job Description

Senior Analytics Engineer

Chainstack 🛠️💙

• Own analytics data pipelines end to end: design, build, migrate, monitor, and maintain flows across source systems, warehouse, Airflow, SQL transformations, and Metabase-facing datasets. • Build trustworthy self-serve data products: curated tables, views, semantic and metric layers, and Metabase dashboards that teams can use without repeated bespoke analysis. • Implement data quality and observability: freshness checks, reconciliation checks, anomaly alerts, lineage notes, pipeline health dashboards, and clear failure ownership. • Maintain high-value business analytics as the baseline: product activation and TTV, high-potential customer acquisition and retention, revenue and billing analytics, churn signals, marketing funnel analytics, and executive dashboards. • Help teams choose and define important metrics: facilitate KPI definitions, formulas, owners, and decision use-cases without trying to centrally own every team’s metrics. • Translate product and operational changes into analytics requirements: events, properties, logs, source tables, warehouse models, dashboard updates, and validation criteria. • Use AI-native workflows to move faster: apply AI coding assistants, MCPs, automated documentation, query generation, tests, and monitoring helpers while keeping outputs reviewed and production-safe. • Document the analytics system: source-of-truth definitions, data contracts, pipeline architecture, runbooks, dashboard ownership, and known limitations. • Manage unplanned analytics requests pragmatically: triage, fix urgent data issues, and convert recurring requests into durable datasets or dashboards.

Job Requirements

  • 5+ years in analytics engineering, data engineering, BI engineering, or data platform roles with ownership of production analytics systems.
  • Expert SQL: data modeling, warehouse transformations, query optimization, dependency analysis, and reusable metric and dataset design.
  • Strong Python: API extraction, automation, data validation, scripts, tests, and production-friendly pipeline code.
  • Hands-on experience with workflow orchestration such as Airflow, including DAG design, task dependencies, retries, backfills, and operational debugging.
  • Strong understanding of data quality, lineage, observability, and incident-style response for stale, broken, or inconsistent analytics data.
  • Strong BI and dashboard skills, preferably Metabase, with ability to design dashboards that are self-explanatory, reliable, and tied to decisions.
  • Practical understanding of SaaS, product, and business metrics: funnels, activation, TTV, retention and cohorts, churn, revenue, CAC, LTV, and NRR.
  • Comfortable working with operational data such as availability, incidents, latency, errors, and pipeline health, with ability to model and report it accurately with engineering teams.
  • AI-native working style: comfortable using AI tools for coding, analysis, documentation, and automation, with strong judgment about validation and production safety.
  • Strong cross-functional communication: can align technical and non-technical teams on data definitions, tradeoffs, ownership, and what should or should not be measured.
  • Excellent written and verbal English.
  • Nice to have Web3 or blockchain domain familiarity.
  • Experience with CDPs and marketing analytics stacks, such as Segment.
  • Experience with observability systems such as Prometheus, Grafana, or ELK.
  • Experience with dbt or similar transformation frameworks.
  • Experience building lightweight internal tools or automation around data workflows.

Benefits

  • Competitive salary in USD: We offer a transparent compensation structure that reflects your experience and impact.
  • Stock options: Share in the company’s success as we continue to grow.
  • Cutting-edge technology: Work with modern tools and stay current with industry developments.
  • Flat structure: Take ownership, move fast, and make decisions without unnecessary overhead.
  • Flexible schedule: Work when you are most productive and maintain balance.
  • Global fast-growing market: Contribute to a rapidly evolving industry with real impact.
  • Multinational team: Collaborate with people from different backgrounds and perspectives.

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