Data Analyst
About this position
Responsibilities
• Database: design, test, and collaborate with relevant parties (e.g Product Engineering, Data Engineering) to enable, extract, or enrich data/data pipeline.
• Reporting: design, build, and disseminate dashboards or other self-served data products to enable stakeholders get quick business performance, conduct data exploration, or derive quick insights.
• Analysis: design, perform, and disseminate descriptive or diagnostic analyses with valuable findings and actionable insights to better understand the business.
• Experimentation: design, analyze, and disseminate experiments or causal-impact studies to test multiple hypotheses, variants, or initiatives and infer the best result(s) based on relevant success metrics.
• Modeling: design, develop, and collaborate with relevant parties (e.g Product Engineering, Machine Learning Engineer, Data Scientist) to deploy supervised or unsupervised models as per business needs to optimize business performance.
Requirements
• Passionate in data, analysis, or insights with high curiosity and skepticism.
• Good communication, presentation, and storytelling skills to deliver data-inspired findings.
• Minimum 1 year of data analyst experience.
• Minimum 1 year of hands-on experience with SQL, spreadsheet, and R/Python.
• Minimum 1 year of dashboarding experience with BI or dataviz tools (Tableau, Looker Studio, Domo, etc.).
• Prior experience in conducting statistical experimentation or A/B testing is a plus.
• Prior experience in developing unsupervised/supervised models is a plus.
• Prior experience in working on cloud platforms (GCP, AWS, Azure, etc.) is a plus.
• Bachelor/Master's degree majoring in Statistics, Mathematics, Physics, Computers/Informatics, Engineering, or Economics is a plus.