Operations Analytics Assistant Manager

The Grab; Jakarta Pusat; On-site; IDR 600,000,000 - 900,000,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Job summary

The Grab is seeking an Operations Analytics Lead based in Jakarta to drive data-driven decisions across merchant strategies and control tower operations. You will translate complex operational challenges into analytical models, dashboards, and actionable insights while mentoring junior analysts.

You will own end-to-end analytics initiatives—spanning merchant acquisition, incubation, and segmentation—working onsite in Jakarta to inform leadership and shape business outcomes.

Qualifications

• Minimum 5+ years of experience in BI, data analytics, or strategy consulting in high-growth tech or e-commerce.
• Advanced SQL with complex joins, CTEs, window functions, and performance optimization.
• Python for data manipulation (Pandas, NumPy) and automated analysis.
• Experience building executive dashboards in Tableau, Power BI, or Superset.

Responsibilities

• Translate business goals into analytical roadmaps and concrete deliverables.
• Design and own core analytics initiatives and dashboards.
• Deliver actionable insights with executive-ready recommendations.
• Maintain data integrity and write SQL queries; collaborate with data teams.
• Mentor junior analysts and promote best practices in SQL/Python.

Skills

BI

Data Analytics

Operations Analytics

Strategy Consulting

English

Tools

SQL

Python

Tableau

Power BI

Superset

Job description

Operations Analytics Assistant Manager

Perusahaan : The Grab Jenis Pekerjaan : Full-Time Jakarta, Indonesia

Deskripsi Pekerjaan - Operations Analytics Assistant Manager

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

Merchant Operations is a team responsible for analyzing merchant growth and trends. We make critical decisions to serve the lives of merchant-partners and providing best offers for our consumers.

Get to Know the Role

We are looking for an Operations Analytics Lead to spearhead data-driven decision-making across our merchant strategy and control tower operations. In this role, you will bridge the gap between high-level business strategy and technical execution—autonomously translating complex operational challenges into analytical models, automated dashboards, and actionable business insights.

You will own end-to-end analytics initiatives spanning merchant acquisition, incubation, and segmentation frameworks verticals. This is an Onsite role based in Jakarta

The Critical Tasks You Will Perform

• Translate Business Goals to Analytical Roadmaps: Autonomously identify operational bottlenecks and translate strategic business priorities into concrete analytical frameworks and end-to-end project deliverables.
• Design & Own Core Strategic Analytics: Drive foundational initiatives, including the annual review and revamp of Merchant frameworks, metric thresholds, and acquisition funnel tracking.
• Deliver Actionable Business Insights: Go beyond reporting data to uncover root causes and commercial trends and provide structured, executive-ready recommendations to leadership.
• Build & Automate Scalable Dashboards: Conceptualize, build, and maintain robust reporting pipelines and interactive dashboards from scratch to monitor cross-channel operations.
• Maintain Data Integrity & Queries: Write clean, efficient SQL queries, manage automated data transformation scripts in Python, and collaborate with engineering/data platform teams on database hygiene and lineage.
• Collaborative Mentorship: Act as an informal technical lead and mentor to junior analytics team members, guiding best practices in SQL/Python scripting, query optimization, and analytical problem-solving.

Qualifications

What Essential Skills You Will Need

• Minimum 5+ years of relevant experience in Business Intelligence, Data Analytics, Operations Analytics, or Strategy Consulting within high-growth tech, e-commerce, or on-demand platforms.
• Technical Mastery:
  • Advanced proficiency in SQL (complex joins, CTEs, window functions, query performance optimization).
  • Strong programming proficiency in Python for data manipulation, cleaning, and automated analysis (Pandas, NumPy).
  • Proven track record building executive-facing dashboards in modern BI tools (e.g., Tableau, Power BI, Superset).
• Demonstrated ability to take ambiguous business problems and translate them into structured quantitative insights with clear commercial "so-what" takeaways.
• Proven to lead analytical projects end-to-end while aligning cross-functional operational stakeholders.
• Excellent verbal and written skills in both Bahasa Indonesia and English.

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.