Staff Data Analyst
Taipei, Taiwan
Coupang
Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.As a staff data analyst, you will drive critical decision making and modeling across a range of ambiguous problems in the supply chain. You will be structuring the data, performing analysis, running simulations, and modeling large-scale datasets to optimize business outcomes and facilitate business decision making. This is a rare opportunity to be part of a diverse, growing, and dynamic team. You will be part of an early stage international expansion team where you will get a broad end-to-end view of the expansion of an e-commerce business.
Key Responsibilities
Your roles will entail among others:
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Collaborate with cross-functional teams to identify opportunities for enhancing operations and business solutions.
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Tackle complex data analysis problems, effectively communicating findings to stakeholders.
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Provide analysis for launched solutions to quantify outcomes.
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Formulate business concerns as technical problems solvable using data and math/stat methods.
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Co-build data analytics culture within the supply chain automation team.
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Develop analytics, success metrics, dashboards, and simulations for products, business, and operations
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Define KPIs and identify improvement opportunities in supply chain analytics.
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Conduct experimentation, A/B tests, and product analytics.
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Supply Chain Analytics – defining KPIs and identifying improvement opportunities.
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Build reporting dashboards in tableau / Power BI. Insights / analytics in Jupyter notebook.
Qualifications
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7-10 years of experience in Business Analytics / Data Analytics / Machine Learning.
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5+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication
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Excellent quantitative analysis skills
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Strong experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and visualization tools.
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- Strong critical thinking skills and ability to solve problems using data science and machine learning fundamentals.
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Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them
Preferences
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Experience with big data tools like Hadoop, Spark, and Presto
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Experience working in e-commerce domain
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Experience in e-commerce, retail/FMCG & distribution (e.g. Discount Store, CVS) or global companies
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Experience with Supply chain / Inventory Planning / Demand & Supply Planning
What We Offer:
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A dynamic and challenging work environment with opportunities for growth and development.
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Competitive salary and benefits package.
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A collaborative culture that values innovation, integrity, and diversity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Big Data Business Analytics Data analysis Data Analytics E-commerce Hadoop Jupyter KPIs Machine Learning Mathematics Power BI Python Spark SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Competitive pay
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