Data Analyst, Risk and Operational Performance

Kraken

2d • Remote

About The Position

Building the Future of Crypto
Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
What makes us different?
Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.
As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
Become a Krakenite and build the future of crypto!
Proof of work
The team
At Kraken, data is both a strategic asset and the foundation of trust with our users, partners, and stakeholders and the data team is the backbone of decision-making.
We’re looking for a Data Analyst, Risk and Operational Performance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization.
In this role, you’ll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Core Services team. Additionally, you’ll also contribute to experimentation infrastructure and ML initiatives, including launching and evaluating A/B experiments.
You will be, quite literally and quantitatively, defining success on a daily basis for our Core Services and other teams across the organization. Join us and be part of a team where data is not just an asset but our language, our tool, and our future!

Requirements

• 5+ years of experience in data analysis and data management within the Fintech industry gained in a fast-paced, high-growth environment
• Experience working with fraud, funding, finance and customer support teams to analyze and optimize operational performance across the business systems
• This role requires expert SQL skills and hands-on experience in Python
• Hands-on experience using dbt (data build tool) to model and organize data for reporting and decision-making
• 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
• You believe wholeheartedly in the values outlined in Kraken’s Tentaclements document
• A degree in a field emphasizing analytical rigor, such as analytics, software engineering or economics.
• Based in Canada and the US and fluent in English.

Responsibilities

• Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements
• Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams
• Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to 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 DBT
• Develop and automate reporting of key performance indicators across core services teams
• Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action.
• Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level