It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description
We are seeking a Data Analyst who will serve as a key thinking partner for our business stakeholders and product management teams across of our business and product domains. In this role, you will leverage data to drive insights, support decision-making, and provide actionable recommendations that will shape the direction of our products and business strategies. Some of the key responsibilities that you will have are:
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!