Data Analyst

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 forour 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

• Bachelor/Master's degree majoring in Statistics, Mathematics, Physics, Computers/Informatics, Engineering, Economics, or equivalent

• Good communication, presentation, and storytelling skills to deliver data-inspired findings, also passionate in data, analysis, or insights with high curiosity character.

• 2-5 years of full time data analyst experience (open for prior experience in scientist and engineerr).

• 2-5 years of hands-on experience with SQL, spreadsheet, and R/Python.

• 2=5 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.