It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description
Database: design, test, and collaborate with relevant parties (e.g Product Eng., Data Eng.) 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.
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.
Analysis: design, perform, and disseminate descriptive or diagnostic analyses with valuable findings and actionable insights to better understand the business.
Modeling: design, develop, and collaborate with relevant parties (e.g Product Eng., ML/AI Eng., Data Sci.) 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.
1+ years of data role experience (analyst, scientist, or engineer).
1+ years of hands-on experience with SQL, spreadsheet, and R/Python.
1+ years 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!