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Kraken

Data Analyst, Product

6.0/10

Kraken

Not specified
Remote
senior
3 days ago
analyticscryptofintechweb3PythonSQLdbtAirflowData AnalyticsData PipelinesDashboardsA/B Testing

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The vacancy is well-defined but lacks compensation details, affecting overall quality.

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Description

What you'll do

  • •Own the design of dashboards, product metrics, and performance reports.
  • •Automate product data solutions, reporting workflows, and pipelines.
  • •Dive into large, complex datasets to create scalable data models.
  • •Translate product and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow.
  • •Lead cross-functional projects to build and maintain high-quality data pipelines and sources.
  • •Drive experimentation infrastructure by designing and launching A/B testing frameworks.
  • •Support ad-hoc data requests.
  • •Deliver insights that shape product direction through data-driven storytelling.

Requirements

  • •7+ years of data analysis experience with deep knowledge of product KPIs and full funnel performance.
  • •Strong product instinct and ability to connect marketing and product insights to drive business growth.
  • •Mastery of SQL including complex joins, CTEs, and analytical functions.
  • •Strong hands-on Python proficiency.
  • •Familiarity with dbt is welcomed.
  • •Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration.
  • •Hands-on experience designing and running A/B tests and experimentation frameworks.
  • •Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly.
  • •Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.
  • •Aligned with Kraken's Tentaclements values.
  • •A degree in a field emphasizing analytical rigor such as analytics, software engineering, or economics.
  • •Must be based in the US, Canada, UK, Germany, Spain, Cyprus or Portugal with flexibility on working hours to support a globally distributed team.
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