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DNSE

46 Ngo Quyen, Hà Nội

Company Size : 100-499

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Job Summary

  • 100-499
  • Product
  • Việt Nam

Senior Data Analyst

DNSE

  • Hoàn Kiếm, Hà Nội
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:06/08/2025

  • Expired
Senior Data Analyst
Expired
Technical Skill: Data Analysis , ETL , MS SQL , Data Mining , Database Design , Tableau , Qlik , Data Warehouse , Product Development , Ecommerce , MS Power BI , Data Visualization , DBT

Job description

Overview of job

  • Use SQL to build ETL pipeline to extract, transform, and load data from primary and secondary sources to data warehouse.
  • Support data governance, build and maintain data quality control, data catalogs
  • Developing and maintaining database schemas for specific business use cases
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Developing highly effective dashboards. Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Fastest growing fintech startup with state-of-the-arts technology
  • Top notch engineering team
  • Competitive salary with regular review and advancement
  • Opportunity to take charge of your own works and directly contribute to company products
  • Small, young and close-knit team. We move fast, work hard and play hard.

Job Requirement

  • Strong problem-solving skills with an emphasis on product development.
  • Proven working experience in data analysis
  • Excellent experience in data visualization software like Superset, Power BI, Tableau, Qlik
  • Excellent experience with SQL and have a hands-on expertise with relational databases and data warehouse methodologies.
  • Excellent experience in dbt software is a plus.
  • Experience with ETL frameworks, Data warehouse, Data lake
  • Proficiency in story telling with data
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  • Accuracy and attention to detail
  • Team-working skills
  • Verbal and written communication skills
  • A drive to learn and master new technologies and techniques.

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Data Analysis
  • ETL
  • MS SQL
  • Data Mining
  • Database Design
  • Tableau
  • Qlik
  • Data Warehouse
  • Product Development
  • Ecommerce
  • MS Power BI
  • Data Visualization
  • DBT

COMPETENCES

  • Analytic Skills
  • Problem Solving Skills
  • Detail oriented
  • Communication Skills

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BUSINESS PROFILE

DSE is the “universe” for creative young people at Fintech pioneering digital securities.

Developed under the model of a Fintech company, DNSE is a collection of young, dynamic people who work hard, play hard. Towards common values: Listening, Respecting words, Always doing better, Hardworking, Inquisitive, Brave, Honest and Dedicated, DNSE appreciates members who strive, get better every day to contribute to the overall success of the group.

In addition to attractive salaries and bonuses, DSE also focuses on innovating remuneration policies, comprehensive care for employees, and at the same time developing a team of young managers and leaders, empowering, giving development opportunities… Besides, Many employee engagement activities are organized regularly through team activities - building, company birthday, Mid-Autumn Festival, annual vacation...

With the orientation of developing a fast and strong team in 2022-2023, this is a great time for young people to join DNSE Securities to learn and seek opportunities for promotion in their careers, as well as contribute power to build exciting new products.

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Data Engineer

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  •  Full Time
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Posted: 08/01/2026
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  •  Full Time
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Posted: 24/12/2025
Skills: AI (Artificial Intelligence), Machine Learning, Python, Tensorflow, PyTorch, Computer Vision, eKYC, ONNX

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