Data Analyst Công Ty Cổ Phần Ikame Việt Nam

• Work with stakeholders to identify new data needs and create data models to support them.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Conduct exploratory data analysis to identify trends and patterns in user behavior, app usage, and customer feedback.
• Design and maintain data models, dashboards, and reports to track key performance indicators (KPIs) for our Product.
• Develop predictive models to forecast user behavior and app performance.
• Communicate to provide data insights and findings to stakeholders through data visualization and storytelling.
• Analyze data to identify opportunities for product improvement and growth.
• Provide data-driven recommendations to the product team to optimize business metrics.
• Collaborate with cross-functional teams to develop and refine product roadmaps and strategies based on data insights.
• Keep up to date with the latest data analysis technologies and best practices

Why join us?

• Unique experience in a young and innovative product team
• We focus on delivering the best working experience for our staff to have the opportunities to speak up, to be recognised, to develop and advance in their career. How do we do that?
  1. Young, friendly and creative working environment
  2. Our little offers create the difference: beverages & snack always available, snack parties every week, birthday parties every month, interest clubs, frequent teambuilding and company trips, etc.
  3. Continuous training & development through internal sharing & external training programs
  4. Our tuition fee sponsorship program covers 30-100% of any course’s fee to assist our staff’s professional development
  5. The culture of AIMING HIGH & NON-STOP INNOVATION created by our CEO & leaders
• Competitive salary up to $1500; salary review twice a year
• Lunch allowance 1,000,000VND/month
• 13th month salary
• Performance bonuses TWICE per year

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Strong proficiency in SQL and Python is required, and experience working with large datasets is a bonus.
• Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Knowledge of data mining techniques and algorithms
• Attention to detail, a commitment to quality work, and the ability to multitask.
• Have mathematical background: knowledge of probability theory and applied statistics at a college-degree level
• 1+ years of experience in data analysis, preferably in a product or marketing analytics role.
• Strong analytical and problem-solving skills with the ability to communicate complex data insights to non-technical stakeholders.
• Experience with cross-functional interaction and the ability to communicate comfortably in business terms