Growth & Support Analytics Specialist

PT Solusi Transportasi Indonesia; Jakarta Pusat; On-site; IDR 200,880,000 - 290,160,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab is seeking a data-driven analyst to join the Grab Support Regional Analytics (GSRA) team onsite in Jakarta. You will measure and analyze business performance across markets, develop dashboards, and collaborate with cross-functional teams to deliver insights that guide decisions.

You will apply advanced analytics, NLP/LLM techniques, and build data pipelines with engineering teammates, turning complex data into actionable decisions for Grab's end users.

Qualifications

• Bachelor's degree in Analytics, Statistics, Engineering, or related field.
• Minimum 2+ years in Analytics, BI, or Data Science roles, preferably in a D2C company with large data.
• Proficiency in Spark, PySpark, and Databricks; strong SQL and data visualization skills (Power BI).
• Experience with Snowflake and dimensional modeling.

Responsibilities

• Measure and analyze business performance across markets and lines of business.
• Explore issues, uncover insights, and identify growth opportunities.
• Partner with management and Grab Support Operations to derive actionable solutions.
• Collaborate with data teams to roll out analytics products and enrich data for insights.
• Develop dashboards to monitor Grab Support operations and performance.
• Apply advanced analytics techniques, including NLP/LLM, to large datasets.

Skills

Spark

PySpark

Databricks

SQL

Power BI

Snowflake

Education

Bachelor's degree in Analytics/Statistics/Engineering

Tools

Power BI

Job description

Grab is seeking a data-driven analyst to join the Grab Support Regional Analytics (GSRA) team onsite in Jakarta. You will measure and analyze business performance across markets, develop dashboards, and collaborate with cross-functional teams to deliver insights that guide decisions.

You will apply advanced analytics, NLP/LLM techniques, and build data pipelines with engineering teammates, turning complex data into actionable decisions for Grab's end users.