Senior Business Intelligence Analyst

Mô tả Công việc
Yes4All is one of the leading brands for home sporting goods & furniture in the e-commerce market. Founded in 2010, we have strived to be in the top 1% retailers on Amazon US. Based in California with an operation office in HCMC, we have more than 400 young and talented members with expert knowledge and experience in the e-commerce industry.
We are on an ambitious journey to dominate not only Amazon's sporting goods market but also to enter new e-commerce markets from many regions like Canada, Europe, Japan. Besides, Home sporting goods, Furniture, Outdoor and Gardening are also great opportunities that we desire to occupy and create significant values. With our steady knowledge in E-commerce, Yes4All started to provide end to-end ecommerce-enabler service in order to help Vietnamese and global manufacturers or struggling sellers bring their products to the US & International markets.
Our mission: Connect the Worldwide Resources & create innovative platform to bring products and services from innovators and manufacturers to worldwide customers more efficiently.
Our vision: To be the world leader of e-commerce enabler in term of trading, product creating, and e-commerce servicing.
POSITION OVERVIEW
The Senior Business Intelligence Analyst will play a crucial role in driving data-driven decision-making across the organization. This individual will be responsible for conducting in-depth data analysis, developing sophisticated BI reports and dashboards, and providing strategic insights to support business objectives
I. JOB DESCRIPTION
Data Analysis and Insights: Conduct thorough analysis of data from various sources, including sales, marketing, and customer behavior, to identify trends, generate actionable insights, and support strategic initiative
Reporting and Dashboards: Design, develop, and maintain comprehensive and visually appealing dashboards and reports that facilitate data-driven decision-making across departments
Advanced Analytics: Utilize advanced analytical techniques, including statistical analysis and predictive modeling, to provide deeper insights into business performance
Cross-Functional Collaboration: Work closely with stakeholders from different departments (e.g., marketing, sales, technology) to understand their data needs and ensure alignment with overall business goals
Data Quality and Governance: Ensure the accuracy, integrity, and consistency of data by implementing and maintaining data quality and governance standards
Mentorship and Support: Provide guidance and support to junior analysts, fostering their development and enhancing the overall analytical capability of the team
Tool and Technology Optimization: Stay up-to-date with the latest BI tools and technologies, and recommend and implement improvements to enhance analytical processes