Senior Analytics Engineer (Platform

???? Description

• Hybrid data engineer/analyst role spanning end-to-end data flows.
• Build data pipelines and insights with Engineering and Product partners.
• Fix data gaps and own stack-wide issue resolution.
• Perform reconciliation validation across sources.
• Deliver business value via curated data models and dashboards.
• Ensure data quality, monitoring, and reliable pipelines.

???? Requirements

• Modular data models (star/snowflake) for analytics.
• Advanced SQL for transformation, querying, optimization.
• ETL/ELT pipelines with dbt and Airflow; DAG design.
• Dashboards with Looker/Tableau/Superset or Python visuals.
• Snowflake/Databricks in production; data lake concepts.
• Cross-functional comms; translate tech to business value.

???? Benefits

• Remote-first culture, with periodic in-person requirements.
• Team/company offsites multiple times yearly.
• Crypto/financial analytics mission-driven environment.
• Growth-focused culture with feedback and mentorship.

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