Product Analytics Data Scientist – FinTech UX & Insights

Grab; Jakarta Pusat; Sur place; IDR 480 000 000 - 720 000 000; Plein temps

Avantages offerts par ce poste

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Résumé du poste

GrabFin Analytics team supports the GFin product and business units across Payments, Lending, Insurance, and Kios. As a Senior Data Scientist (Analytics) you will partner with Product, Design, and Tech to convert questions into hypotheses, design experiments, and generate insights that influence product strategy.

You will build dashboards, monitor lending operations, and apply advanced statistics, NLP, and ML to improve user experience, reduce risk, and drive business impact.

Qualifications

• Bachelor's degree in Analytics, Statistics, or Engineering or related field.
• 2+ years in Analytics, BI, or Data Science in large data environments.
• Proficiency with Spark, PySpark, and Databricks.
• Strong SQL and data visualization skills (Power BI).
• Experience with Snowflake and multidimensional modeling.

Responsabilités

• Identify data requirements with cross-functional teams and design analytical solutions.
• Analyze operational data, perform business impact analyses and text analyses.
• Develop dashboards to monitor Grab Support operations and overall business performance.
• Apply advanced statistical and ML techniques, including NLP/LLM, to derive insights and inform decisions.
• Collaborate with data engineering to ensure data quality and accessible data pipelines.
• Communicate findings to stakeholders through concise reports and visuals.

Connaissances

Analytical skills

Statistical knowledge

Stakeholder communication

Formation

Bachelor's degree in Analytics/Statistics/Engineering

Outils

Spark

PySpark

Databricks

SQL

Power BI

Snowflake

Description du poste

GrabFin Analytics team supports the GFin product and business units across Payments, Lending, Insurance, and Kios. As a Senior Data Scientist (Analytics) you will partner with Product, Design, and Tech to convert questions into hypotheses, design experiments, and generate insights that influence product strategy.

You will build dashboards, monitor lending operations, and apply advanced statistics, NLP, and ML to improve user experience, reduce risk, and drive business impact.