Data Analyst (Philippines)
Job title: Data Analyst (Philippines)
Company: GrabTaxi Pte Ltd
Job description: Job Description : About the Team Country Analytics is geographically distributed across five countries. The team collaborates to solve highly complex and important problems in their own respective countries. Get to know the role * Analytics Job Description : About the Team Country Analytics is geographically distributed across five countries. The team collaborates to solve highly complex and important problems in their own respective countries. Get to know the role Analytics role focused on Grab’s Philippines business to execute analytics projects across different verticals and functions. Based in Metro Manila, Philippines. Solve key business problems through using appropriate mix of strategic thinking and computational methods. Provide actionable insights to inform decisions and strategies. Develop cross-domain and cross-functional knowledge about Grab’s business, products and operations through working with vast volumes of data. Enable market-wide visibility for on business metrics across multiple business lines. Develop and uphold best practices with respect to change management, documentation and data protocols. Perform and drive internal analytics to continuously refine how we operate. What we are looking for: Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or related technical field. 2+ years of experience in data-centric roles, with strong working knowledge in SQL and Python. Cognizant of coding best practices and performance tuning. Experience with working with Presto or similar Big Data engines. Experience with Tableau or similar BI tools. Strong problem solver, able to investigate and resolve issues independently. Able to work under pressure and deliver work arounds quickly to ensure business as usual. Analytical and independent problem solver. Meticulous with high attention to detail. Strong communicator with ability to switch hats between data/technical speak and business/layperson speak. Ability to speak in local language (FIlipino) and familiarity with local Filipino culture is a plus.
Job date: Thu, 13 May 2021 22:55:21 GMT
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