Loading...
Mid LevelFull-timePythonRustAWSML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Analyst, Risk and Operational Performance to join our team remotely at Kraken. 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.
Key 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
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
- ✓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
- ✓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.
