【Game changer, armed with data.】
You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.
【What a Data Analyst does in Titansoft】
．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】
．Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications.
．Advanced statistical principles and practical applications.
．Experience in measuring cost and production.
．Knowledge and experience in A/B testing and multivariate testing management.
．Five years + of data related work experience.
．Have mentorship experience in leading or guiding data projects/products.
．Have CRM relevant experience will be plus.
．Proficiency in Python/R (must at least one), SQL or other programming languages ．Proficiency in Statistics Methodology
．Ability to translate analysis results into business recommendations and insights
．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
4. Personality Traits / Characteristics：
．Emphasis on outcomes and improvements in product performance
．Passion to learn and apply new technologies and techniques
【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