Data Analyst (Insurance)

Get to know our Team:

Grab’s Insurance business (GrabInsure) is a recent addition to Grab Financial Group. GrabInsure is developing innovative insurance solutions for the Grab ecosystem which includes drivers, customers, agents and merchants. We work with a range of insurance partners to deliver these products. Our team is responsible for end to end conceptualisation, design, development, execution and ongoing management of all insurance activities in its focus markets and segments. We are incredibly excited about the opportunity ahead of us.

Get to know the Role:

• 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, Holistic's, other MIS and dashboard reporting

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

• Assist data science teams in developing tools, metrics, and systems to analyse 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

• 3-6 years relevant work experience in Data warehousing, BI, analytics or insights related role

• Expert in SQL, Presto, Hive coding skills Expert in Tableau and creating dashboards

• Proficient with working on Big databases

• Proficient in Excel

• Strong analytical skills with the ability to collect, organise 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 and dynamic working environment

• Good in business communication

• Insurance, wealth management, FI experience preferable