Get to know the Team
We focus on humanising big data, being a bridge between the technical and operational (market) side of business and to use data in order to align with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit!
What will you do?
• Understand user-behaviours through metric movements to perform exploratory analysis and discover new opportunities
• Use your data expertise to support operational business teams and be the champion for data-driven decision making
• Design market/business intelligence reports, performance measurement dashboards and other data products.
A Day In The Life
• Be our expert in using data to measure and analyse business performance in each of our markets and lines of business.
• Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth.
• Partner with management and operational teams to deep dive on core issues and use our data to find answers.
Collaborate with various expert teams to roll out effective products/services and to expand Grab’s universe of data for building richer insights.
• Develop data applications that provide analytical insights for business stakeholders
• Establish a data-driven decision making ecosystem for business stakeholders through integration of data products with Grab’s internal tools and systems
• Build and maintain data pipelines used for a diverse range of data products
• Implement best practices for managing versions and source control for data product development
The Must-Haves
• A curious and confident soul (with a dash of humour) who loves using data!
• Prior knowledge in Data Manipulation/Wrangling, Analytics, Statistics, Economics or Engineering, Computer Science, Information Systems, or a related technical field.
• For the Senior Analyst role, at least 3 years of experience or multiple internships in an Analytics, Business Intelligence or Data Science role, preferably with large, complex, high-velocity data.
• Strong foundation in data query/manipulation using SQL is a must.
• Strong working knowledge of data visualisation best practices; data visualisation using tools like PowerBI is a must.
• Strong foundation using Big Data technologies (Spark, PySpark, MLFlow).
• Strong foundation in Azure Data Services (SQL DWH/Synapse, Databricks, Data Factory) is preferred.
• Experience in business, strategy and/or tech consulting would be an advantage.
• Passionate about solving problems – possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Strong communicator with the ability to switch hats between data/technical speak and business/layperson speak.
Join our mission to make data more accessible and useful for Business, Product and Data Science & Analytics communities. Click "I'm Interested" and speak with us today!