Data Analytics Manager - GrabFinance (Lending), Thailand

Salary provided
Posted on 22 Feb 2021

Data Analytics Manager - GrabFinance (Lending), Thailand


Job Highlights

  • Data warehousing, BI, analytics or insights relate
  • Proficient with working on Big databases
  • Retail banking, FI or credit bureau experience

Job Description

Get to know the Role:

  • This is a team-leading role for Thailand Data Team for Grab Finance.

  • Candidate should be hands-on with analytics, data management, simple statistical and econometric modelling and SQL ETL tasks.

  • Work scope is data and analytics tasks including management reporting, dashboarding, for financial use cases such as lending, payments.

  • In time and with growth in business, the candidate will be supported by direct team members.

  • Working in close coordination with regional Data and Analytics team in Singapore.

  • Reporting to regional Head of Data & Analytics for Grab Finance.

Key day to day tasks:

  • Liaison with the country credit bureau, regulators for the data reporting needs.

  • Solve for country businesses’ finance reporting needs.

  • Lead country-level data audits to successful completion.

  • Determine and acquire the datasets needed to be collected from internal and external sources

  • Design and implement databases and data schemas for new products and digital solutions

  • Management of campaign reporting, MIS, analysis and derivation of key success KPIs

  • Design and ownership of Dashboard in Tableau, Holistics, other MIS and dashboard reporting

  • Work with data scientists, technology teams and other functions to deep dive on data solutions and prioritize business and information needs

  • Assist data science teams in developing tools, metrics, and systems to analyze large-scale internal and external datasets to identify opportunities to improve solutions’ efficiency, accuracy for a more targeted product offering.

  • ETL, Profiling and segmentation of datasets for tactical data mining tasks

  • Test for incoming data quality (exploratory data analysis) and build and execute UAT test cases at the point of deployment of analytics models

 The must haves:

  • A Bachelor's/Master’s degree, preferably in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering

  • 8-12 years relevant work experience in Data warehousing, BI, analytics or insights related role

  • Proven relevant experience with Credit Bureau or Analytics Consulting (Financial Institutions) in nature

  • Proficient in both Thai and English language

  • Expert in SQL/Presto, Python coding skills a plus

  • Good in Tableau and building dashboards

  • Proficient with working on Big databases

  • Proficient in Excel and PPT

  • Strong analytical skills with the ability to collect, organize and analyse significant amount of information with attention to detail and accuracy

  • Knowledge of data models, data mining and segmentation techniques

  • Team leading experience, Self-motivated and independent learner

  • Detail-oriented and efficient time manager who thrives in a dynamic working environment

  • Good in business communication

  • Retail banking, Financial Institition or credit bureau experience preferred

Additional Information

Career Level
Years of Experience
8 years
Job Type
Full Time, Permanent

Company Overview

Grab is the first taxi booking app in Thailand that helps passengers book a taxi with safety, speed and certainty. We believe in our strong social mission to rapidly improve the lives of both taxi drivers and passengers in Thailand, as well as revolutionise the Thai taxi industry.

Grab is the leading taxi booking app in Southeast Asia- we are already making a difference in Malaysia, the Philippines and Singapore. Please join our founding team in making a difference in Thailand. We are seeking highly motivated and energetic teammates who share our passion and vision, and thrive in a challenging, rapidly-growing startup environment.

Visit us

Additional Company Information

Benefits & Others
Dental insurance, Education allowance, Five-day work week, Flexible working hours, Life insurance, Medical insurance, Performance bonus, Transportation allowance, Travel allowance, Work from home