Senior Analytics Engineer (Web3)

Senior Analytics Engineer

Company

Chainstack

Conditions

5 hours agoSenior Anywhere Remote Full Time Data Science Jobs by Chainstack

Skills

Data Quality Segment Airflow Bi Dbt Metabase Elk Data Pipeline Observability Grafana Prometheus Sql Python Dashboard Api Lineage Data Warehouse Data Modeling Automation Ai

About the Role

You will design, build, and maintain analytics pipelines, datasets, and dashboards that stakeholders use to make decisions. You will implement data quality and observability, translate product and operational changes into analytics requirements, document systems and runbooks, and respond to urgent data incidents while converting recurring requests into durable solutions.

Requirements

• 5+ years in analytics engineering data engineering BI engineering or data platform roles with ownership of production analytics systems
• Expert SQL including data modeling warehouse transformations query optimization dependency analysis and reusable metric and dataset design
• Strong Python for API extraction automation data validation scripting 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 self-explanatory reliable dashboards tied to decisions
• Practical understanding of SaaS product and business metrics such as funnels activation TTV retention cohorts churn revenue CAC LTV and NRR
• Comfortable working with operational data such as availability incidents latency errors and pipeline health and modeling and reporting it accurately
• 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 to align technical and non-technical teams on data definitions tradeoffs ownership and measurement
• Excellent written and verbal English
• Web3 or blockchain domain familiarity (nice to have)
• Experience with CDPs and marketing analytics stacks such as Segment (nice to have)
• Experience with observability systems such as Prometheus Grafana or ELK (nice to have)
• Experience with dbt or similar transformation frameworks (nice to have)
• Experience building lightweight internal tools or automation around data workflows (nice to have)

Responsibilities

• 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 such as curated tables views semantic and metric layers and Metabase dashboards
• Implement data quality and observability including freshness checks reconciliation checks anomaly alerts lineage notes and pipeline health dashboards
• Maintain high-value business analytics baselines such as product activation TTV customer acquisition retention revenue billing churn and executive dashboards
• Help teams choose and define important metrics including KPI definitions formulas owners and decision use-cases
• Translate product and operational changes into analytics requirements including events properties logs source tables warehouse models dashboard updates and validation criteria
• Apply AI-native workflows for coding automation documentation query generation tests and monitoring while ensuring production safety
• Document the analytics system including source-of-truth definitions data contracts pipeline architecture runbooks dashboard ownership and known limitations
• Triage and manage unplanned analytics requests fix urgent data issues and convert recurring requests into durable datasets or dashboards

Benefits

• Stock options
• Flexible schedule
• Access to modern tools and technology
• Multinational team

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