Position Overview:
This position offers an open opportunity to work with a variety of sophisticated tools such as BigQuery, PowerBI, ArcGIS, Marketing Cloud, ERP, and CRM systems. Furthermore, you&039;ll delve into complex datasets including customer profiles, digital footprints, transactions, inventory, and financial data to deliver essential insights for informed decision- making. Moreover, this role offers the opportunity to leverage data to solve challenges that drive growth opportunities for the company.
As a Junior Analytic Engineer, your role leverages both data analytics and engineering skills to ensure efficient data operations through data modeling, analysis and the development of data pipelines and supporting tools
Key Responsibilities:
Build and Maintain BI Reporting System:
Design, develop, and implement BI solutions to support various departments, including sales, marketing, finance, and operations.
Develop and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) and support business operations.
Data Analysis and Reporting:
Collect, analyze, and interpret large datasets to identify trends, patterns, and insights.
Collaborate with Data Engineers onData Management (Data Storage, Data Integration)
Data Engineering
Maintain up- to- date documentation of data sources, methodologies, and processes.
Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
Collaborate with Data Engineers to design, maintain, and stabilize ETL pipelines.
Ensure data quality and consistency across all reports and analysis.
Support Strategic Planning and Decision Making:
Assist in monitoring and analyzing the effectiveness of marketing campaigns and promotional activities.
Provide support in delivering data- driven insights to aid in strategic initiatives, such as market analysis, customer segmentation, and product performance evaluation.
Assist in monitoring and analyzing the effectiveness of stores, identifying opportunities for improvement and optimization.

Education: Bachelor’s degree in Business Administration, Business Analytics, Finance, Statistics, Computer Science, or a related field.
Experience:
0- 2 years of experience in business intelligence, data analysis, or a related role, preferably in the retail industry.
Basic understanding of Data Engineering, such as knowledge of ETL Flows and centralized data management.
Technical Skills:
Familiarity with programming languages such as Python or R is a plus.
Intermediate SQL skills and familiarity with database management systems (e.g., SQL Server, MySQL).
Basic technical/functional knowledge in data systems (GCP, AWS, Azure)
Intermediate proficiency in BI tools such as Tableau, Power BI, Looker, or similar.
Experience with BI/analytics/statistics tools
Experience in reading API documentation and testing APIs using tools like Postman is a plus.
Soft Skills:
Ability to work independently and as part of a team in a fast- paced environment.
Attention to detail and a commitment to data accuracy and integrity.
Strong analytical and problem- solving skills.
Good communication and presentation skills, with the ability to convey data insights to non- technical stakeholders.

Have the opportunity to work with challenges and develop one’s best abilities.
Opportunities to continuously learn, participate in training courses, and have a clear career development path.
Attractive salary and bonus policy (13th month salary, business bonus Vuners Voucher, Vuners Birthday, Vuners Vacation).
Working at the leading mattress and accessories retail company Viet Nam with a network of more than 130 stores nationwide.
Vuners Care advanced health insurance program.
Participate in team building activities, travel, vacations, and sports clubs of the company.
Participate in social insurance and health insurance according to state regulations
Working environment: Friendly, dynamic, promotion opportunities

Cập nhật gần nhất lúc: 2024-09-07 23:10:03