Analytics Assistant Manager

Grab

Cikoko

On-site

IDR 150,000,000 - 210,000,000

Full time

9 days ago
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Benefits offered by this job

Term Life Insurance
Medical Insurance
GrabFlex benefits
Parental leave
Birthday leave
LASA volunteering leave
Grabber Assistance Programme
FlexWork arrangements

Job summary

Grab Rentals Indonesia's Analytics team maintains data pipelines, resolves issues, and ensures reports are accurate and reliable. You will manage core Rental data tables and create new datasets when needed, partnering with Planning and Operations to translate business needs into practical data solutions.

This onsite role in Jakarta reports to the Planning & Analytics Manager and requires a hands-on leader comfortable turning complex questions into actionable insights using SQL, Python, and Power

Qualifications

  • Bachelor's degree in a quantitative field.
  • Fluent in written and spoken English and Bahasa Indonesia.
  • Strong hands-on SQL, Python, Power BI, and Excel skills.
  • Prior background in Data Analytics, BI, or Data Operations; senior/lead/supervisory experience.

Responsibilities

  • Maintain core Rental data tables and ensure downstream reports are accurate.
  • Monitor automated data pipelines, fix pipeline errors, and automate workflows.
  • Design and maintain Power BI dashboards, reports, and datasets.
  • Serve as main contact for ad-hoc data requests from Planning and Operations.
  • Continuously optimize pipeline performance while keeping data secure and consistent.

Skills

SQL
Python
Power BI
Excel
Data Analytics
Stakeholder management
English & Bahasa Indonesia

Education

Bachelor's degree in a quantitative field

Job description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Company Description
About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description
Get to Know the Team

We are Grab Rentals Indonesia, providing fleet vehicles and improving partner productivity across Grab. We support unbanked individuals by helping them access vehicles and opportunities to work as driver-partners. Our Analytics team supports the business by providing reliable data and insights to improve operations & partner productivity.

Get to Know the Role

As an Analytics Assistant Manager, you will maintain data pipelines, resolve issues, and ensure reports are accurate and reliable. You will also manage core Rental data tables and create new datasets when needed. Working with Planning and Operations, you will provide data support and turn business needs into practical solutions. You will report to the Planning & Analytics Manager. This is an onsite role based in Jakarta

The Critical Tasks You Will Perform
  • Maintain core Rental data tables to ensure all downstream reporting and datasets are accurate, complete, and up-to-date.
  • Monitor automated data pipelines, fix pipeline errors, execute manual overrides when needed, and proactively automate manual workflows.
  • Design and maintain Power BI dashboards, reports, and custom datasets that translate raw data into clear, decision-ready insights.
  • Serve as the main point of contact for ad-hoc data requests from Planning and Operations, converting complex business questions into actionable solutions.
  • Continuously optimize pipeline performance while keeping data consistent, accurate, and secure across all deliverables.
Qualifications
What Essential Skills You Will Need
  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics, or Data).
  • Fluent in written and spoken English and Bahasa Indonesia.
  • Strong hands-on experience with SQL (complex queries, table management, large datasets), Python (data processing, automation, pipeline troubleshooting), Power BI (building/maintaining dashboards), and Excel.
  • Prior background in Data Analytics, Business Intelligence, or Data Operations; senior, lead, or supervisory experience
  • Proactive and detail-oriented, taking complete accountability for data reliability and fixing issues before they reach stakeholders.
  • Strong stakeholder management skills with the ability to translate business questions into actionable data solutions.
Additional Information
Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex, create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  • Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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