Grab

Technology

DataAnalystAssociate

$100000–150000k ~AI est. Jakarta, Indonesia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Analyst Associate at Grab”

Industry & Context.

Technology
Full Job Description

About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team We are dedicated to consolidating data from different sources to provide a coherent and unified view for finance stakeholders. We prioritize data consistency, quality, and accessibility, and we thrive on cross-functional collaboration to meet the diverse needs of our business. Get to Know the Role As a Data Analyst, Finance Product & Data Integration at Grab, you will consolidate data from various sources to provide a unified view for finance stakeholders. You will ensure data consistency, quality, and accessibility, while collaborating with Finance, business teams, and the Data Engineering team. Your role includes maintaining databases, ensuring data integrity and security, and conducting regular audits and quality checks. Robust analytical skills, attention to detail, and cross-functional collaboration are essential for this position. You will be reporting to Senior Manager, Finance Data Solutions and based on-site in our Jakarta office. The Critical Tasks You Will Perform * You will develop data integration solutions that match business requirements, craft SQL scripts, examine source data structures, detect data quality inconsistencies, and design strategies to handle data integration obstacles. * You will work with finance stakeholders, engineers, and product teams to comprehend the associated business processes and transform these understandings into technical scripts. * You will design and deploy data integration solutions, select appropriate data integration tools, develop data

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