Data Analyst

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

The ID Driver Operations team manages the end-to-end driver lifecycle on the platform starting from onboarding, engagement, training to retention. The team guides initiative across hundreds of cities where Grab operates in ID. The team develops framework and processes and works with the relevant operations teams located in the respective cities to ensure SOP are followed and best practices are shared amongst city teams. The team also monitors cities performance in achieving their Goals and assists in troubleshooting issues.

Get to Know the Role 

As an Analyst for Driver Operations team, you will use data-driven insights to develop operation strategy across the different functions such as driver onboarding and retention. You will work with several stakeholders such as the teams who handle Driver Onboarding, Engagement, and Training, and Payment and Incentive Operations. You will also also help provide data / insights necessary for cross-function projects. You will be based onsite in our Head Office in Jakarta and reporting to the Head of Driver Operations.

The Critical Tasks You Will Perform

• Perform in-depth analysis daily, using internal data and sometimes external data when available. Analysis can be from three perspectives: customers side such as: 
  • customer behavior, use cases and other patterns to give insight to management on how to capture the business potential 
  • driver partners such as: working behavior, financial side / unit economics for each transaction
• Create reports/dashboards that allow Ops team to monitor financial and ops performance
• Monitor main operational metrics and advise relevant managers on action items
• Identify / confirm operational issues through data and come up with relevant solutions
• Analyze demand and working with S&P team to design promo or to strategize pricing
• Design driver incentive schemes if needed to boost driver performance
• Set up automated process to reduce manual repetitive work and eliminate potential human error in backend ops

Qualifications

What Essential Skills You Will Need

• A Bachelor's degree in Engineering or Computer Science or Mathematics
• Minimum 3+ years relevant work experience as data / business analyst or similar role
• Advanced Data crunching skill is very crucial hence proficiency and working experience using SQL, Python, R, and Excel (can perform complex functions) is required
• Capability to produce insights from data crunching will be imperative
• Experience in business growth/strategy in MNC Company, tech consulting Industry, or startup preferred

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.