Data Analyst Associate

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 mapping, set up transformation and load (ETL) processes, and construct data integration workflows.
• You will analyze requirements, and develop financial operational reports or dashboards, including automating existing reporting procedures.
• You will provide technical support to resolve data integration issues and troubleshoot data-related problems.

What Essential Skills You Will Need

• Bachelor's Degree in Data Analytics, Business Analytics, Finance, Economics, Statistics, Computer Science or a related field.
• 3+ years exposure at minimum in finance operations/data analytics/business intelligence area.
• Must be fluent in SQL language, comfortable diving in messy and scattered data.
• Exposure in financial reporting, Oracle ERP and data reconciliation is preferred.
• Exposure to python is preferred.
• Adept at explaining technical concepts to non-technical audiences.
• Delivers high numerical accuracy while independently identifying and streamlining manual tasks.
• Understanding of accounting principles & financial theories.
• Familiar with AI automation tools Claude , Cursor.
• Familiarity with project management methodologies and best practices.

 

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.