Senior Analytics Engineer position based in Australia. The role offers the opportunity to build and scale the core analytics infrastructure that powers decision‐making across a fast‐growing Web3 technology organization. You will design and own end‐to‐end data systems that transform raw operational, product, and business data into trusted insights used by teams across product, engineering, marketing, sales and finance. Working in a highly technical, distributed environment you will develop robust data pipelines, scalable datasets and self‐serve analytics products that enable data‐driven decisions at every level, collaborating closely with leadership and cross‐functional stakeholders to define key business metrics and ensure consistent, reliable reporting. This position blends data engineering, analytics engineering and platform ownership in a high‐impact, fast‐paced environment, suitable for someone who thrives on building trusted data foundations that directly shape business strategy.
Accountabilities
* Own and evolve end‐to‐end analytics data pipelines, including ingestion, transformation, orchestration, monitoring and maintenance across warehouse and BI systems.
* Design and build scalable, self‐serve data products such as curated datasets, semantic layers, metric definitions and dashboards for cross‐functional use.
* Implement strong data quality, observability and reliability frameworks, including anomaly detection, lineage tracking and pipeline health monitoring.
* Develop and maintain key business analytics covering product performance, growth, retention, revenue, churn and marketing funnel metrics.
* Partner with stakeholders to define, structure and standardize KPIs, ensuring alignment on metric definitions and business logic.
* Translate product, engineering and operational changes into robust analytics models, data pipelines and reporting structures.
* Document data systems, including architecture, definitions, ownership and operational procedures to ensure transparency and maintainability.
* Triage and resolve ad‐hoc analytics issues while converting recurring needs into scalable, long‐term data solutions.
Requirements
* 5+ years of experience in analytics engineering, data engineering, BI engineering or similar data platform roles with production system ownership.
* Advanced SQL expertise including data modeling, transformation design, query optimization and scalable dataset architecture.
* Strong Python skills for data pipelines, automation, API integration, testing and workflow development.
* Hands‐on experience with workflow orchestration tools such as Airflow including DAG design, debugging and operational maintenance.
* Deep understanding of data quality, observability, lineage and incident management for analytics systems.
* Strong BI and dashboarding experience (preferably Metabase) with ability to design decision‐driven, self‐service analytics.
* Solid understanding of SaaS and digital business metrics such as funnels, retention, cohorts, CAC, LTV and revenue analytics.
* Experience working with operational and engineering data such as system performance, logs and reliability metrics.
* AI‐native working approach leveraging modern tools for coding, automation and documentation with strong validation discipline.
* Excellent communication skills with the ability to align technical and non‐technical stakeholders on data definitions and trade‐offs.
Benefits
* Competitive USD‐based salary aligned with experience and impact.
* Stock options providing participation in company growth and success.
* Fully remote, flexible work environment with global collaboration.
* Flexible working hours focused on output and work‐life balance.
* Opportunity to work on cutting‐edge Web3 and blockchain infrastructure.
* Flat organisational structure enabling ownership, autonomy and fast decision‐making.
* Collaboration with a diverse, international team across multiple time zones.
* Access to modern tools and technologies in a rapidly evolving industry.
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