46 Feedback Analysis jobs in Vietnam

I. Job Purpose/ Mục Đích Công Việc :

• Manage data retrieval and analysis of Circle K Vietnam to transform data into insights that can help to improve their performance and value of Circle K Vietnam/Quản lý việc truy xuất và phân tích dữ liệu của Circle K Việt Nam để chuyển đổi dữ liệu thành thông tin hữu ích giúp cải thiện hiệu suất và tăng giá trị của công ty.

II. Job Accountabilities/ Trách Nhiệm Công Việc :

• Utilize master database of CK Club and whole company for analysis & reports/ Tối ưu hóa cơ sở dữ liệu từ ứng dụng CK Club và toàn công ty cho việc phân tích và các báo cáo.
• Develop BI dashboards with clear visualization of reports of customers demographic, behaviours & transactions, and maintain dashboard upon request/ Phát triển các BI dashboard với trực quan hóa dữ liệu của báo cáo rõ ràng về nhân khẩu học, hành vi của khách hàng và dữ liệu giao dịch, và duy trì khi có yêu cầu.
• A great advantage if you have knowledge of various analytical models and the ability to apply them to practical data analysis/ Lợi thế lớn nếu có hiểu biết về các loại mô hình phân tích và có khả năng ứng dụng mô hình vào công việc phân tích dữ liệu thực tiễn.
• Support line manager provide valuable member insights through deep analysis of various members behaviour, transactional & promotional campaign using RFM model, Cohort analytic, Customer Lifetime Value, Product Cross Basket Analysis and Sale - Promotion correlation analytic, ect./ Hỗ trợ quản lý trực tiếp cung cấp những thông tin giá trị thông qua việc phân tích sâu về hành vi của các khách hàng thành viên, các giao dịch và chiến dịch khuyến mãi, sử dụng mô hình RFM, phân tích Cohort, phân tích giá trị lâu dài của khách hàng, phân tích giỏ hàng chéo và phân tích tương quan Giảm giá - Khuyến mãi.
• Provide forecasts for Circle K's annual programs upon request/ Cung cấp kết quả dự báo cho các chương trình thường niên của Circle K khi có yêu cầu.
• Collaborate with other teams in BDBX department and Finance Department to support their monthly budget, income & expenses management and forecast over the year (requires attention to detail and Excel skills)/ Cùng với các phòng ban khác trong bộ phận BDBX và bộ phận Tài Chính để hỗ trợ quản lý ngân sách, thu nhập và chi phí hàng tháng và dự báo cho cả năm (riêng phần này cần yêu cầu sự tỉ mỉ và kỹ năng Excel khá).
• Other tasks are as assigned by Line Manager/ Thực hiện các nhiệm vụ khác theo phân công của quản lý trực tiếp.

III. Job Requirements/ Yêu Cầu Công Việc :

• Bachelor's degree or above in Information Technology, Data Science, Statistics, Applied Mathematics, or related fields/ Tốt nghiệp Đại học hoặc cao hơn thuộc các chuyên ngành Công nghệ Thông tin, Khoa học Dữ liệu, Thống Kê, Toán Tin, hoặc các ngành liên quan.
• 1-2 years of working experience in the field of Business Intelligence and Data Analysis/ 1-2 năm kinh nghiệm làm việc trong lĩnh vực Trí tuệ doanh nghiệp và Phân tích dữ liệu.
• Positive thinking and ability to learn quickly with can-do attitude/ Tư duy tích cực và khả năng học nhanh với thái độ sẵn sàng làm việc.
• Excellent analytical, problem-solving skills/ Kỹ năng phân tích và giải quyết vấn đề tốt.
• SQL skills including SQL query development, optimize, performance tuning, data analysis and integration/ Kỹ năng SQL bao gồm phát triển các SQL query, tối ưu hóa, điều chỉnh hiệu suất, phân tích dữ liệu và tích hợp.
• Experience in functional design of BI analytics solutions with SQL, Power BI, and Python/ Kinh nghiệm sử dụng, thiết kế các giải pháp phân tích trí tuệ doanh nghiệp bằng SQL, Power BI, và Python.
• Skills in using Python for analysis, running models, interacting with databases, and data visualization/ Kỹ năng sử dụng Python cho phân tích, chạy mô hình, tương tác với cơ sở dữ liệu, và trực quan hóa dữ liệu.
• Excellent skills of Excel, PPT, data analytical, data presentation and visualization/ Kỹ năng xuất sắc về Excel, PPT, phân tích dữ liệu, trình bày dữ liệu và trực quan hóa dữ liệu.
• Advantage if you have knowledge and ability to use Power Apps & Power Automate/ Lợi thế nếu có kiến thức và khả năng sử dụng Power Apps & Power Automate.
• Good English in both written and verbal/ Sử dụng tốt Tiếng Anh cả viết và nói.

Mô tả công việc:

(Mức lương: Thỏa thuận)

BROAD SCOPE:

Data (volume/cost) analysis and optimization of logistics operations, including warehouse, forwarding, and trucking activities.

ESSENTIAL DUTIES/ RESPONSIBILITIES:

Data Analysis and Reporting

• Collect, clean, and analyze logistics data from multiple sources to ensure accuracy and consistency.
• Develop and maintain dashboards, reports, and KPIs to track logistics performance and identify areas for improvement.
• Provide actionable insights to enhance operational efficiency and cost-effectiveness.

Inventory and Operations Management

• Work closely with warehouse operations teams to ensure accurate inventory data management.
• Identify inefficiencies in supply chain operations and recommend data-driven solutions.

SOP Management

• Develop and refine Standard Operating Procedures (SOPs) for data collection, reporting, and analysis.
• Ensure compliance with data governance standards and operational policies.

Logistics Dashboard Management

• Logistics Dashboard Monitoring, Track Key logistics metric and trends
• Ensure accuracy and generate report for decision making
• Identify improvements for efficiency
• Create Dashboard based on operational demands

Productivity and Cost Management

• Analyze logistics cost structures and identify opportunities for cost savings.
• Utilize statistical and predictive modeling techniques to optimize resource allocation and improve productivity.
• Monitor and evaluate vendor performance, transportation costs, and service levels.

Claim Handling and Risk Management

• Analyze claims data to identify root causes and propose solutions to minimize losses.
• Monitor and evaluate logistics operations to reduce risks and errors in order fulfillment and transportation.
• Maintain accurate and timely records of logistics activities and compliance metrics.

Other Responsibilities

• Provide accurate and timely daily, weekly, and monthly reports on logistics activities.
• Support the implementation of new projects related to logistics optimization and digital transformation.
• Other duties assigned by management.

Chức vụ: Nhân Viên/Chuyên Viên

Hình thức làm việc: Toàn thời gian

Quyền lợi được hưởng:

• 100% gross salary during probation;
• Statutory insurances;
• Healcare package
• Birthday voucher;
• Quarterly Party/voucher, Team Building, YEP;
• Lunch allowances, shuttle bus;
• OT should be compensated based on gross salary;
• 13 Salary, Performance bonus;
• Annual Salary Review;
• In Period Leave for female (3hr/month);
• Professional and challenging working environment;
• Outsourcing contract 3rd party

Yêu cầu bằng cấp (tối thiểu): Trung cấp - Nghề

Yêu cầu công việc:

(a) EDUCATION / QUALIFICATION

• University graduate in Logistics, Supply Chain Management, Data Analytics, Business, or a related field.

(b) EXPERIENCE

• At least 5 years of experience in logistics, warehousing, forwarding, or trucking data analysis.
• Experience in ERP, WMS, and TMS systems is preferred.

(c) SKILLS

• Proficiency in data analytics tools such as SQL, Python, R, or similar.
• Experience with visualization tools like Power BI, Tableau, or Excel (advanced level).
• Strong problem-solving skills and ability to provide data-driven insights.
• Excellent MS Office skills.
• Strong leadership and communication skills.
• Ability to work under high pressure and meet deadlines

Yêu cầu giới tính: Nam/Nữ

Ngành nghề: Data Analytics,Giao Nhận Hàng,IT Phần Mềm,Kho Vận,Xuất Nhập Khẩu

Trung cấp - Nghề

Không yêu cầu

Nhân viên Data Analysis (After-Sales Service) công ty Nhật Bản lương 24 triệu

Japanese company

Address: Hoang Mai, Hanoi, Vietnam

Vị trí tuyển dụng/ Positions: Assistant Manager, Data Analysis (After-Sales Service)

Department: CS Planning & Promotion

Mô tả công việc

Job Description

o Consolidate and standardize data from our Dealer Management System (service and part). You will build and visualize reports to track after-sales performance and highlight key issues.

o Analyze the effectiveness of after-sales campaigns (e.g., promotions, customer care). Provide recommendations to optimize future initiatives.

o Serve as a key data contact for the After-Sales team, collaborating closely with other departments on important projects like the Vehicle Connected System, CRM, and dealer system.

o Prepare and update periodic reports, standardized PDCA reports.

o Others jobs assigned by supervisor.

Yêu cầu

Requirements

• Female.

o Bachelor's Degree in University, major in Business Administration/ Economics or related fields.

o At least 3 years of experience in a data/ business analysis role. High proficiency in data visualization tools, especially Power BI.

o Good at English (minimum TOEIC score of 600 or equivalent)

o Analytical Mindset, Communication Skills

Good-to-Haves (Major Advantages):

o Direct work experience in the after-sales service department of an automotive company.

o Experience in managing small projects from start to finish.

o Note: Candidates with strong data analysis skills who lack automotive industry experience are still encouraged to apply; comprehensive training will be provided.

Quyền lợi

Benifit

o Competitive salary

o Genuine work/ life balance: Working time: 8:00 – 17:30, From Monday to Friday

o Accident insurance, Travelling insurance besides Social Insurance

o Annual leave, public holiday, company holiday according to the labor law, additional sick leave

o Annual Heath check-up, Company trip, Year End Party

o Work in a professional setting with standardized processes and gain hands-on experience with our nationwide dealer network.

o Participate in strategic automotive projects that will enhance your skills and build a professional portfolio.

o Clear Career Path: Opportunities to grow into a managerial role within 3-5 years.

Bạn quan tâm gửi cv và liên hệ zalo số

Job Type: Full-time

Pay: 20,000,000₫ - 24,000,000₫ per month

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and outliers.
• Support senior analysts in developing and implementing data models and statistical analyses.
• Create visualizations and dashboards to communicate data insights effectively to stakeholders.
• Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
• Collaborate with team members on data-related projects and contribute to project deliverables.
• Document data sources, methodologies, and findings.
• Assist in the preparation of reports and presentations summarizing analytical results.
• Participate in training sessions and actively seek opportunities to expand knowledge and skills in data analysis.
• Contribute to the continuous improvement of data management and analysis processes.
• Understand business requirements and translate them into analytical tasks.
• Engage in problem-solving activities related to data quality and interpretation.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts and data analysis principles.
• Proficiency in or willingness to learn programming languages such as Python or R.
• Basic understanding of database concepts and SQL is a plus.
• Excellent communication skills, both written and verbal.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Strong attention to detail and a commitment to accuracy.
• Eagerness to learn and adapt to new technologies and methodologies.
• A proactive and team-oriented attitude.
• Previous internship or project experience in data analysis is beneficial.

• Assist senior analysts in collecting, cleaning, and organizing large datasets.
• Perform basic statistical analysis and identify trends and patterns.
• Help in the creation of reports, dashboards, and visualizations using data analysis tools.
• Support the development of data models and queries.
• Learn and apply various data analysis techniques and methodologies.
• Participate in team meetings to discuss project progress and findings.
• Contribute to data quality assurance and validation processes.
• Assist in documenting data sources, methodologies, and results.
• Gain exposure to business intelligence software and tools.
• Collaborate with cross-functional teams to understand data requirements.
• Help in identifying key performance indicators (KPIs) and metrics.
• Support the testing and validation of new analytical tools or software.
• Learn about data warehousing concepts and database management.
• Assist in generating ad-hoc reports as requested by management.
• Participate in training sessions and workshops to enhance analytical skills.
• Understand the business context behind the data being analyzed.
• Follow established data governance and security policies.
• Contribute to brainstorming sessions for new analytical approaches.
• Gain hands-on experience with programming languages like SQL and Python for data analysis.
• Support the interpretation of results and provide initial insights.
• Help in preparing presentations of data findings.
• Learn about data mining and predictive modeling basics.
• Assist in maintaining project documentation.
• Contribute to a positive and collaborative learning environment.
• Seek opportunities to learn and grow within the data analysis field.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Familiarity with statistical concepts and methods.
• Basic knowledge of data analysis tools and techniques.
• Proficiency in Microsoft Excel is essential.
• Basic understanding of SQL is highly desirable.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong problem-solving abilities and attention to detail.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team and independently.
• Understanding of programming concepts, especially Python, is advantageous.
• Familiarity with data manipulation and cleaning techniques.
• Genuine interest in data and its application in business.
• Willingness to commit to the full duration of the traineeship.
• Strong work ethic and a desire to contribute.
• Good time management skills.

• Assisting in the collection and organization of data from various sources.
• Learning to perform data cleaning and validation to ensure data accuracy and integrity.
• Supporting the analysis of datasets to identify patterns, trends, and correlations.
• Helping to create reports and visualizations to present findings effectively.
• Gaining exposure to data analysis tools and software such as SQL, Python, R, and Tableau.
• Participating in team meetings and contributing to data-related projects.
• Developing an understanding of business intelligence principles and their application.
• Collaborating with cross-functional teams to gather data requirements and deliver insights.
• Learning best practices in data management and data governance.
• Receiving mentorship from senior data professionals to guide career development.
• Contributing to the continuous improvement of data analysis processes and methodologies.
• Preparing summaries and presentations of analytical results for management review.
• Working on specific data projects assigned by the management team.
• Building a foundational understanding of statistical concepts and their application in analysis.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with programming languages like Python or R is a plus.
• Proficiency in Microsoft Excel.
• Strong communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• A proactive approach and a willingness to contribute to team goals.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing to ensure data quality and integrity.
• Conduct basic statistical analysis to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to represent findings.
• Support the preparation of reports and presentations summarizing data insights.
• Learn and apply data analysis tools and techniques under supervision.
• Collaborate with team members using virtual communication platforms.
• Help maintain databases and data dictionaries.
• Participate in training sessions and team meetings.
• Contribute to ad-hoc data analysis requests as needed.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel).
• Eagerness to learn new technologies and methodologies.
• Good communication skills, both written and verbal, suitable for remote interaction.
• Ability to work independently and manage time effectively in a remote setting.
• Prior exposure to data analysis tools (e.g., Python, R, SQL) is a plus but not required.
• A keen eye for detail and a commitment to accuracy.
• Enthusiasm for data and its potential to drive business decisions.