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 Now
Apply Now
• 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 Now
Apply Now