【What a Data Analyst does in Titansoft】
．Use Google Analytics data to describe the user's front-end behavior profile, identify business problems and propose solutions
．Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements.
．Develop and automate reports for analytical purposes
．Collaborate with other Product Development teams to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
．Support key decision makers to improve products and services

【What we are looking for in a Data Analyst】
1. Qualifications：
．Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications.

2. Experience
．Have NLP / GCP / Google Analytics / CRM / User Behavior / Recommendation relevant experience will be plus.
．Advanced statistical principles and practical applications.
．Experience in measuring cost and production.
．Knowledge and experience in A/B testing and multivariate testing management.
．Experience in scripting with SQL.

3. Skills：
．Proficiency in Python/R (must at least one), SQL or other programming languages
．Proficiency in Statistics Methodology
．Experience in Google Analytics , have end-to-end project experience will be preferred
．A/B and Multivariate testing management
．Data visualization (such as Tableau, Excel, etc)
．Ability to translate analysis results into business recommendations and insights
．Ability to present the insights clearly to technical and non-technical audiences
．Strong written, verbal communication and presentations skills
．Strong problem solving skills
．Excellent written and verbal communication skills for coordinating across teams and with stakeholders or non-technical audiences

【What makes a (Super!) Data Analyst in Titansoft AKA the "great to haves"】
．Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation