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Product Analyst

Grab
Hồ Chí Minh
Thương lượng
Đăng

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Mức lương
Thương lượng
Hình thức làm việc
Tại văn phòng
Loại công việc
Toàn thời gian
Địa điểm
Hồ Chí Minh
Lĩnh vực
Nhân sự & Tuyển dụng
Cần tuyển
01 ứng viên

Mô tả công việc

Get to Know the Team
As a Product Analyst at Grab For Business, you'll have the opportunity to collaborate with experts in technology, analytics, and business operations to drive the vision and growth of our platform. Grab For Business enables corporate employees to book rides, order food, and send parcels and company admins to manage expenses and employee welfare budgets.

Get to Know the Role
You will be responsible for all end to end matters related to data ETL, creation of dashboards and development of data driven insights. In addition, you will provide day to day data support to the Operations and Product teams. You will report to Senior Analytics Manager, Transaction Platform & GFB, and work onsite at the Grab HCMC office.

The Critical Tasks You Will Perform

  • Utilize data to measure and analyze business/product performance across markets and business lines.
  • Explore business/product issues and opportunities, uncover insights, and identify growth areas.
  • Collaborate with product and engineering teams to design and analyze experiments for key product decisions.
  • Work with country-specific operations teams for product feature localization.
  • Lead teams to roll out effective products/services and expand data for richer insights.
  • Generate data-driven hypotheses to solve key product/business problems.
  • Develop models to understand interaction effects or suboptimal product configurations.
  • Measure, monitor, and report product/system metrics; perform root cause analysis for sudden metric changes.
  • Create analytics tools for stakeholders to self-serve data and analyses.

Yêu cầu công việc

  • 2+ years of experience in similar Tech industry roles.
  • Bachelor's/Master's degree in Analytics, Statistics, Software, Mathematics, Economics, Computer Science, or Engineering.
  • Highly proficient in English, both written and verbal.
  • Experience with collecting, organizing, and analyzing large datasets.
  • Strong foundation in SQL and data visualization tools like PowerBI.
  • Solid statistical knowledge with experience in controlled experiments.
  • Proficient in data analysis and basic machine learning using Python.
  • Proven track record of working with and influencing multiple stakeholders.
  • Experienced in hypothesis-based and data-driven approaches.

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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
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