Analystic Engineer

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 the world leader in e- commerce enablers in term of trading, product creating and e- commerce servicing. Based in California with an operation office in HCMC, we have more than 500 young and talented members with expert knowledge and experience in the e- commerce industry.
We are on an ambitious journey to dominate not only US e- commerce market but also to enter new e- commerce markets of more than 15 countries in Europe, Asia and North America, not only Amazon channel but also Walmart, Wayfair among others. 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.
JOB PURPOSE
As an Analytics Engineer, you will play a key role in building and optimizing our data infrastructure to support data- driven decision- making across the organization.
RESPONSIBILITY AND AUTHORITY

Level 1: The person is assigned the right determine issues, make the solution, identify the benefits and risks of each solution and propose an optimal solution to superior for approval
Level 3: The person is assigned the right to directly solve the problems and report on the works & results achieved
Level 4: The person is assigned all the rights of decision and not have to report working results to direct superior except the request
Level 2: The person is assigned the right to present the direct superior what is intent to do and seek guidance before deciding

Tool and Technology: Implement analytics tools and technologies to optimize team’s performance as well as support the
Data Pipeline Development: Build and maintain scalable and efficient data pipelines to ingest, process, and transform large volumes of data from diverse sources. Ensure data quality, reliability, and integrity throughout the pipeline.
Collaboration and Support: Collaborate with cross- functional teams (such as DE, BI, Sales) to support their data and analytics needs. Provide technical guidance and support to team members if needed.
Data Modeling and Analysis: Build predictive models and machine- learning algorithms to analyze large amounts of information to discover trends and patterns. Develop state- of- the- art model/algorithms in one or all the following areas: deep learning (convolutional neural networks, NLP, computer vision), object detection/classification, model fusion based on different data modalities (e.g., text, images, videos), etc.
Tool and Technology Selection: Evaluate, select, and implement analytics tools and technologies to support the organization&039;s analytical needs. Research & stay abreast of emerging technologies and industry trends in data and analytics.
Implementation: organization&039;s analytical needs through automation process and technology adoption.
Documentation and Training: Document technical specifications, data models, and processes. Provide training and support to end- users on data tools and platforms.

REQUIREMENTS
Knowledge

Bachelor&039;s degree in Computer Science, Engineering, Statistics, or related field.

Skills

Effective communication and collaboration skills, with the ability to work cross- functionally in a dynamic environment.
Proven experience in data engineering, analytics, or related roles, with strong programming skills in languages such as Python/R, SQL, or Java.
Excellent analytical and problem- solving skills, with attention to detail.

Experience

Hand- on experience with machine learning and and deep learning modeling (with text and/or image processing).
Solid understanding of data modeling, ETL processes, and database technologies (e.g., SQL, NoSQL, Hadoop, Spark).

WHY YOU WILL LOVE JOINING US?
FOR YOU TO JOIN

Financial Well- being: A competitive salary with 13th month salary, annual performance bonus and a variety of allowances.
Activities: company trips, team- building, and other customized monthly bonding events.
Salary review: annually or on excellent performance.

Working Environment: dynamic, friendly environments with working time flexibility (Mon- Fri), and other perks include snacks, coffee, and healthy food provided daily suited for hardworking, fun, and team collaboration.
Annual leaves: 16 days off and 01 Birthday Leave per year.
Healthcare: annual health check, insurance according to Labor Law and extra PTI Insurance package.

FOR YOU TO GROW

Chances: Be led and coached by experienced and inspirational leaders and participate in various training courses where you can enlarge your knowledge and experience in the E- commerce and Supply Chain industry.
Ambition: We are now keeping on with our hyper growth to multicategory, multichannel, multimarket, and expanding into the world largest e- commerce enabler. Hence, there will continuously be opportunities to challenge yourself, learn new skills and knowledge.
Challenges: Your voice can always be heard as we embrace the eagerness of learning and sharing. You can be your own boss and create your own value with the ability to take initiative and make decisions in all aspects of work.

FOR YOU TO STAY

Culture: Our working environment is humble, collaborative and 100% healthy. We promote Exchange & Speak out, you can receive transparent and supportive feedback so you can perform the best.
Career path: Provide you a great career path, open to rotating for your better understanding of the company and contribute across many of our functions.
People: Having a headquarter in the US and an operation office in Vietnam, our team is young and highly motivated. You will be working with and alongside members having experiences from International Corporations or high profile from Vietnam that share the same passion and dedication.

And much more, join us and let yourself explore other fantastic things!

Laptop, Chế độ bảo hiểm, Du Lịch, Phụ cấp, Đồng phục, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương, Nghỉ phép năm

Cập nhật gần nhất lúc: 2024-08-22 15:20:03