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Mid LevelFull-timePythonRustAWSML
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Analyst, Product to join our remote team at Kraken. This role focuses on elevating decision-making by uncovering emerging trends and root causes, and by developing tools to drive insight and actions that give full visibility into product performance and business growth.
Key Responsibilities
- →Act as a trusted business advisor who influences decision-making for the growth team
- →Own the design of dashboards, metrics, and reports, turning data into actionable insights
- →Dive into large, complex datasets/logs to turn findings into scalable data models
- →Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines
- →Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action
- →Develop and automate reporting of key performance indicators of various Kraken’s products at scale
- →Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices
- →Deliver insights that shape growth direction through clear, data-driven storytelling
Requirements
- ✓5+ years of experience in data analysis and data management within the financial services industry
- ✓Hands-on experience trading derivatives (such as perpetuals, futures, or similar instruments)
- ✓Experience working closely with product teams to analyze and optimize performance across the product funnel
- ✓Expert SQL skills—including complex joins, CTEs, and analytical functions—paired with familiarity in Python libraries such as pandas, matplotlib, and plotly
- ✓Hands-on experience using dbt (data build tool) to model and organize marketing, product, or performance data
- ✓Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration
- ✓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
- ✓A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science
- ✓BenefitBullets
- ✓[]
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