Key Responsibilities Includes 
• Developing intelligent, insightful reporting on the key drivers of our business 
• Interacting with internal stakeholders to deep-dive outlier events 
• Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format 
• Analyse and solve business problems with focus on understanding root causes and driving forward- looking opportunities 
• Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing. 
• Working closely with respective Business leaders, city teams, Sales Leadership to drive development of metrics and analyses necessary for evaluation and implementation of new strategies. 
• Working with large data sets, automate data extraction, and build monitoring/reporting dashboard for data delivered by third parties. 
• Writing high quality SQL code to retrieve and analyse data. 

Basic Qualifications 
• BE degree in Computer Science, or any other quantitative field. 
• Experience distilling customer requirements into problem definitions, dealing with ambiguity and competing objectives 
• Strong communication and data presentation skills 
• Hands-on experience programming in R, Java, C#, C++ or similar programming languages in the past.  
• 5 to 7 years of professional experience in Analytics, Business Intelligence, or a Data Science role preferably in e-commerce, software (SaaS) or retail company with large, complex data sources. 
• Advanced SQL writing skills and experience querying very large relational databases 
• Must be passionate about data analytics and have a natural curiosity and ability to dive deep into large datasets uncovering insights and presenting relevant findings to business partners 
• Ability to quickly gain a deep understanding of BI platforms (PowerBI, Snowflake), database schemas, ETL’s, and business logic with an ability to apply critical thinking skills towards gathering and analysing data 
• Strong problem-solving and critical thinking skills; ability to analyse issues and create appropriate tactical plans • Meticulous attention to detail; ability to juggle many tasks in parallel without lowering quality bar 
• Ability to succeed in a fast-paced, innovative, and rapidly evolving industry and business organization 
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams. 
• Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues. Self-driven and can work with minimal oversight.
Data Analyst

Investors
