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QA Data Analyst

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Ho Chi Minh City, Ho Chi Minh, Vietnam Ninja Van Full time

Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia.

Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries.


At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts.

Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers.

But we are just getting started We have much room for improvement and many ideas that will further shape the industry.


Responsibilities:

-
Execute QA AuditPlan to ensure NJVservice quality SOPsare followed:

  • Define and execute the digital testing strategy to identifyrisks and drive the testing coverage within the audit cycle to assess internal control activity, operational efficiencies and compliance with selected policies, procedures and Regulations.
  • Review the business process maps for each audit to identify the key automated business controls and critical data elements, and whether there are control gaps in the end to end flow.
  • Work with Product owners and IT stakeholders to prioritize backlogs, deliver solutions through environments and into production.
-
Sales and commercialaudit:

  • Set up a data model to test sales and commercial audits.
  • Develop a tool to identify wrong behaviors compared to Sales processes.
  • Bring the method into the actual sales process to detect wrong behaviors.
  • Report and find the root cause for the problem.
  • Propose solutions
  • Drive innovation and technological improvements that support the activities of Internal Audit such as Data Analytics, Process and Data Mining
-
Others:

  • To plan and execute initiative projects, together with crossdepartments.
  • Assist in the identification, selection, and implementation of tools, technologies, and practices that support the overall QA process.

Requirements:

  • Minimum of 1 year of experience in data analysis, specifically in data quality analysis, preferably in the logistics industry.
  • Proficiency in programming languages such as SQL and Python, with a focus on data analysis and manipulation in a logistics context.
  • Familiarity with statistical methods and tests relevant to the logistics industry, such as regression analysis, forecasting, and optimization.
  • Experience with statistical packages such as Gsheet, MS Excel, tailored for logistic data analysis.