Tuyển Data Analyst thu nhập Tới 55,000 USD Toàn thời gian tại Hà Nội - Crossian

Storefront: Designing customizable and scalable online store systems that provide seamless shopping experiences and support dynamic business growth.
Storefront
Ads Manager: Integrating and optimizing advertising tools across platforms like Facebook, Google and more, enabling businesses to launch, track, and analyze marketing campaigns efficiently.
Ads Manager
Marketing Insights & CRM: Turning raw data from marketing campaigns, transactions, and user behavior into actionable insights to enhance customer engagement and drive smarter decision-making.
Marketing Insights & CRM
Collect, clean, and analyze data from diverse sources, including user behavior metrics, campaign performance metrics, and customer engagement metrics.
Manage data from A/B testing, including user tracking event data, aggregating and splitting it into multiple versions for analysis.
Develop hypotheses and provide actionable insights to improve storefront experiences, optimize ad campaigns, enhance customer retention strategies, and evaluate the effectiveness of new features or content through AB testing.
When comparing versions in AB testing, provide the confidence level of the results, determine the required number of views (users) and duration for the test to achieve statistically significant outcomes. Define the Definition of Done (DoD) for the two versions A and B in the experiments.
Utilize data visualization techniques to create charts and dashboards that communicate key trends and support decision-making for cross-functional teams.
Build and maintain real-time BI dashboards to track critical metrics such as conversion rates, customer lifetime value, and results from A/B tests.
Assist in the creation of a self-service BI system, enabling teams to explore data and generate reports tailored to their needs, including monitoring and analyzing A/B tests.
Define and manage data schemas for eCommerce-specific objects (e.g., product catalogs, tracking user events) and data from A/B tests to optimize data accessibility for analysis.
Ensure the data warehouse maintains high data quality standards, is optimized for performance, and meets the needs of our global platform, including supporting analyses from A/B testing
Collaboration with Team Members: Work closely with team members to comprehend data requirements and deliver appropriate data solutions to meet business needs.
Collaboration with Team Members
Cross-functional Collaboration: Engage with cross-functional teams to support and facilitate data-driven decision-making throughout the organization.
Cross-functional Collaboration

Educational Background: Bachelor\'s degree preferred in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Educational Background:
Professional Experience: At least 3 years working in a DA role
Professional Experience:
Technical Proficiency: Expertise in SQL, Python and BI tools, along with a strong understanding of data modeling, data warehousing, and real-time data monitoring. Familiarity with cloud technologies and DevOps practices is essential.
Technical Proficiency:
Database Management: Understanding the principles of database management and being able to perform exploratory data analysis is essential.
Database Management:
Analytical Skills: Strong ability to analyze datasets and utilize data visualization techniques to derive meaningful insights.
Analytical Skills:
Communication Skills: Strong verbal and written communication skills, capable of presenting data insights clearly and contributing to decision-making processes.
Communication Skills:
Innovative Thinking: Ability to keep pace with industry trends in data analytics methodologies and tools, applying this knowledge to drive the business forward.
Innovative Thinking:
English proficiency
Machine Learning Techniques: Familiarity with machine learning algorithms and their applications in data analysis.
Machine Learning Techniques:
Big Data Platforms: Experience with big data technologies such as Hadoop and Spark for handling large datasets.
Big Data Platforms:
Programming Proficiency: Skilled in programming languages like Python and R for data analysis and automation tasks.
Programming Proficiency:
Familiarity with the Agile toolset, such as Gitlab, Jira, Confluence, and Slack.

Up to 30 months of salary per year through competitive salary packages and performance-based bonuses.
Up to 30 months of salary per year
Total annual compensation $55,000, reflecting your expertise and contribution.
$55,000
Hands-on exposure to cutting-edge technologies and complex system architecture in a global-scale project.
Clear career advancement pathways and access to continuous professional development programs.
Contribute to projects that redefine how brands connect with consumers globally.
Opportunity to work on challenging problems in data analytics, customer engagement, and operational efficiency.

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Hạn nộp hồ sơ: 10/05/2025

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