Gather requirements and refine scope for data requests/projects from business users and management.
Create comprehensive SQL queries to generate and conduct reports/dashboards for ad hoc requests from different business units.
Develop and maintain ETLs for automatic reports and dashboards on the in-house data platform.
Collaborate with relevant local and regional teams on data acquisition, alignment of business logic/definitions, and functional updates.
Analyze quantitative data using statistical techniques and provide actionable insights to inform decisions/strategies.
Work closely with business users in rolling out consumer campaigns with data and analysis support.
Requirements: Bachelor's/Master's degree, preferably in Analytics, Statistics, Computer Science or Engineering.
At least 1-2 years of experience in an Analytics, Business Intelligence or Data Engineer role with large, complex, high velocity data is preferred.
Strong foundation in data query/manipulation using SQL and data visualization.
Capable of making impactful contributions both as an individual and as a member of a team.
Able to switch hats between data/technical speak and business/layperson speak.
Strong analytical and problem-solving skills - possesses a relentless need for investigation and data exploration.
Results-oriented with a keen eye for detail and ability to solve problems creatively and quickly.
It s great if you have: Fluency in English.
Experience in e-commerce or digital payment platforms.
A global outlook and exposure to work with people from different cultures.
Python/JAVA or similar programming background.
Job skills required: Statistics, English, Python, SQL
Job skills preferred: Java