Data Analyst, Product
Ink Fndn
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Job Description
About Ink Fndn (Kraken)
Ink Fndn, powered by Krakenites, is a world-class team with strong crypto conviction, dedicated to unlocking the potential of crypto and blockchain technology. As a mission-focused company, Kraken aims to accelerate the global adoption of crypto to foster financial freedom and inclusion. With over a decade of focus on its mission and crypto ethos, Kraken attracts top crypto experts globally. We encourage all candidates to familiarize themselves with the Kraken Culture page and the Kraken app before applying.
As a fully remote company, Kraken boasts a diverse team across 70+ countries speaking over 50 languages. Krakenites are pioneers developing premium crypto products for experienced traders, institutions, and newcomers, with a strong commitment to industry-leading security, crypto education, and world-class client support through products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Join us to build the future of crypto!
The Role: Data Analyst, Product
At Kraken, data is a strategic asset and the cornerstone of trust with users, partners, and stakeholders. The data team is fundamental to decision-making. We are seeking a Data Analyst, Product to join our remote team. The primary objective of this role is to enhance decision-making by identifying emerging trends, uncovering root causes, and developing tools that provide clear insights and actions, ensuring full visibility into product performance and business growth.
Beyond technical expertise, success in this role requires being a genuine business partner. You will combine data-driven insights with strategic thinking to shape growth initiatives, guide decisions, and drive measurable organizational impact. You will own the end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and insights for the Product team. Additionally, you will contribute to experimentation infrastructure, including launching an A/B testing system and other experimental projects, ensuring the data team’s continuous evolution and growth. In this position, you will quantitatively define success daily for our Product and leadership teams. Join a team where data is our language, our tool, and our future.
Key Responsibilities
- Act as a trusted business advisor, influencing decision-making for the growth team and deeply understanding the business.
- Own the design of dashboards, metrics, and reports, translating data into actionable insights for growth, cross-functional partners, and leadership.
- Dive into large, complex datasets/logs to develop scalable data models that facilitate reporting, analytics, and ML models.
- Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines using Airflow, Python, and modern ETL frameworks.
- Be at the forefront of data innovation by experimenting, testing hypotheses, and converting insights into action.
- Develop and automate reporting of key performance indicators for various Kraken products at scale.
- Develop high-quality code for pipelines and dashboards, applying software engineering best practices.
- Deliver insights that shape growth direction through clear, data-driven storytelling.
Skills You Should HODL (Required Qualifications)
- 5+ years of experience in data analysis and data management within the financial services industry, preferably in a fast-paced, high-growth environment.
- Hands-on experience trading derivatives (e.g., perpetuals, futures, or similar instruments), gained professionally or through personal trading.
- Experience collaborating closely with product teams to analyze and optimize performance across the product funnel and related business metrics, ideally within a trading environment.
- Expert SQL skills, including complex joins, CTEs, and analytical functions, coupled 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 for reporting and decision-making.
- Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration.
- Capability to create intuitive dashboards and visualizations to communicate complex insights clearly.
- Strong communication skills to simplify complex data ideas for both technical and non-technical audiences.
- Strong belief in Kraken’s Tentaclements document values.
- A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science.
Nice to Haves
- Deep interest in enhancing user experiences through improved product analytics and experimentation.
- Passion for continuous learning and approaching problems with a beginner’s mindset.
- Solid understanding of the cryptocurrency space and how financial markets function.
Key skills/competency
- Data Analysis
- Product Analytics
- SQL
- Python
- dbt
- ETL
- Data Modeling
- Dashboarding
- Financial Services
- Derivatives Trading
How to Get Hired at Ink Fndn
- Research Ink Fndn's culture: Study Kraken's mission, values ("Tentaclements"), recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their commitment to crypto adoption and financial freedom.
- Master crypto and financial markets: Demonstrate a solid understanding of cryptocurrency, blockchain technology, and financial market functions. Highlight personal or professional experience with derivatives trading.
- Showcase data analysis expertise: Prepare specific examples of using expert SQL, Python (pandas, matplotlib, plotly), and dbt for complex data modeling, pipeline management, and dashboard creation in product analytics contexts.
- Emphasize business partnership and communication: Illustrate your ability to translate complex data into actionable insights for diverse audiences, acting as a trusted advisor to product and leadership teams at Ink Fndn.
- Familiarize yourself with Kraken products: Download and use the Kraken app, Kraken Pro, Wallet, etc. to demonstrate genuine interest and user perspective during your interview process.
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