Kraken Off Campus Recruitment Drive 2025 Hiring Data Analyst Role | Remote | $110K - $176K ( 90LPA - 1.5 Cr)

The Team

• Embark on a transformative journey with Kraken's data team, where your expertise will directly influence the evolution of the cryptocurrency landscape.
• The data team is the backbone of decision-making at Kraken, quantitatively defining success daily for growth, products, and leadership.
• Join a team where data is not just an asset; it's our language, tool, and future.

The Opportunity

• Your data expertise will inform product development and impact the next generation of products.
• Dive into large datasets/logs to build scalable data models for reporting, analytics, and ML models.
• Lead cross-functional projects with analysts, scientists, engineers, and product teams using Airflow, Python, and modern ETL frameworks.
• Develop and automate reporting of KPIs for various Kraken products at scale.
• Write high-quality code for pipelines and dashboards following software engineering best practices.
• Deliver insights that shape product direction through clear, data-driven storytelling.

Skills You Should HODL

• Degree in a field emphasizing analytical rigor (software engineering, economics, or hard sciences).
• Proficiency in SQL and familiarity with Python libraries (pandas, matplotlib, plotly).
• Experience setting up and managing data pipelines with strong workflow orchestration knowledge.
• Ability to create intuitive dashboards and visualizations to communicate insights clearly.
• Familiarity with dbt (data build tool) and version-controlled analytics workflows.
• Curious and investigative mindset with the ability to explore data deeply and find patterns.
• Comfortable in fast-paced environments, delivering quality work with speed and adaptability.
• Strong communication skills to simplify complex data ideas for both technical and non-technical audiences.

Nice to Haves

• Familiarity with machine learning model development.
• Interest in improving user experiences through better product analytics and experimentation.
• Passion for continuous learning and approaching problems with a beginner’s mindset.
• Solid understanding of the cryptocurrency space and financial markets.