Senior Manager, User Intelligence-thailand

7 months ago

Thailand Lazada Full time

Location:
**Thailand**
- Department: Commercial- Location: Thailand- Team and Role Introduction:

- Lazada is a leading e-commerce company committed to innovation and growth and Lazada User Product Department is the driving force behind our e-commerce platform's core user journey products. Our dedicated team is passionate about elevating the user experience, from the moment they first encounter our homepage, to exploring personalized feeds, engaging with product recommendations, diving into product details, and managing their accounts through the MyAccount page. These pivotal components define our users' interactions with our platform, and our team lead the charge in delivering a seamless, captivating, and user-centric e-commerce journey.We are seeking a highly skilled and motivated Data Analyst to join our dynamic Business Team. This role is pivotal in our mission to extract meaningful insights from data to identify new growth points and opportunities, ultimately driving our user product team's success.**Responsibilities**:
- Data Extraction: Collect, clean, and organize data from various sources, ensuring data accuracy and completeness.
- Data Analysis: Perform in-depth data analysis using statistical methods, data visualization, and other analytical techniques to uncover trends, patterns, and correlations.
- Business Insights: Translate data into actionable insights and recommendations for the business team, helping identify areas for growth and improvement.
- Reporting: Create and maintain comprehensive reports and dashboards to track key performance indicators (KPIs) and share insights with stakeholders.
- Predictive Modeling: Develop predictive models to forecast future trends and support proactive decision-making.
- Data Visualization: Create compelling data visualizations and presentations to effectively communicate findings to both technical and non-technical stakeholders.
- Collaboration: Collaborate with cross-functional teams, including marketing, sales, finance, and operations, to understand their data needs and provide analytical support.
- Continuous Learning: Stay up-to-date with industry best practices, emerging trends in data analytics, and relevant tools and technologies.

**Job Requirements**
- Requirements/Qualifications(must have):
- Bachelor's degree in a relevant field (e.g., Business, Data Science, Statistics, or a related discipline). Master's degree is a plus.
- Proven experience in data analysis and interpretation.
- Proficiency in data manipulation and analysis tools such as Excel, SQL, Python, R, or similar.
- Experience with statistical analysis and predictive modeling.
- Excellent communication and presentation skills.
- Ability to work collaboratively in a team-oriented environment.
- Problem-solving mindset and attention to detail.
- Strong business acumen and ability to understand business goals and challenges.

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