Data Analyst, Risk and Operational Performance
Job Description: • 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 • 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. Benefits: • Offers Equity • Offers Bonus • Medical • Dental • Vision • 401(k) Apply tot his job