Data Analytics Manager - Grab Financial Philippines
Get to know the Role:
- This is a team leading role for Philippines Data Team for Grab Financial.
- 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 Financial.
- Key day to day tasks:
- Liaison with 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
- Expert in SQL/Presto, Python coding skills
- 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
- Self-motivated and independent learner
- Detail-oriented and efficient time manager who thrives in a dynamic working environment
- Good in business communication
- Retail banking, FI or credit bureau experience preferred.
