Role Overview

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.

• Design, build, and maintain business intelligence reports 
• Collaborate with product and business stakeholders to define how best to measure, monitor and understand customer behavior and product performance metrics
• Optimise the visualization to bring out the insights of the data
• Analyze business processes and analytical requirements that assist with decision-making processes
• Take ownership of the data consistency across all the operational reports 
• Interpret the data to provide insights to the business stakeholders
• Monitor the performance metrics, and if any trends, or volatilities are observed in the reports, take the initiative to carry out necessary analysis to understand the driver of these phenomena
• Deliver strategic initiatives to improve the quality and timeliness of data insights
• Deliver continuous optimizations strategies that continuously re-invent data products and insights

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
• Good knowledge of math and statistics
• Ability to apply math and statistics in data validation, report development, validation, and interpretation.
• 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)