Data Analyst - Operations at Kuda Bank

Role Overview:

• This is a BI Analyst role dedicated to operational reporting and analytics. We’re looking for a passionate BI Analyst that can apply their data Illustrative and reporting skills to translate complex information into meaningful insights. Excelling in critical thinking, ensuring all data problems are solved.
• You must be able to transform data, gain understanding and use that insight to dig deeper and present a straightforward data story. Must be conformable, communicating findings and insight across multiple business levels.
• If you are passionate about data and applying yourself to business challenges excites you, we would love to hear from you.

Roles and Responsibilities:

• Design, build, and maintain business intelligence solutions to elevate and showcase data-to-decision across the entire business
• Collaborate with product and business stakeholders to define how best to measure, monitor and understand customer behavior and product performance
• Develop compelling information visualizations and dashboards
• Deliver strategic initiatives to improve the quality and timeliness of data insights
• Deliver continuous optimizations strategies that continuously re-invent data products and insights
• Analyze business processes and analytical requirements that assist with decision-making processes

Requirements:

• 3+ Years of experience in a Business Intelligence and/or Data Analyst role, with a focus on analyzing and understanding business operations
• Strong knowledge and proven experience using SQL
• Strong knowledge of and experience with tools like Looker, QlikView, Tableau or PowerBI
• Prior experience in designing and implementing performance metrics to track business or product KPIs
• A fundamental in identifying patterns or regions in products or behaviors that indicate opportunities for business process improvement
• Excellent analytical and forecasting ability
• Strong written and verbal communication skills
• Understand current data protection and privacy laws, e.g., GDPR
• A degree in the information technology field (e.g., Statistics, Economics, Math, Science, Engineering)

Advantageous:

• Previous experience as an operation analyst
• Familiar with methods for budget forecast, capacity forecast, funnel analysis
• Experience working in AWS, Google Cloud or Azure
• Using dbt Cloud to perform data modelling.
• Experience using BigQuery data capabilities
• Good understanding of the software development process and best practices