Chuyên gia Phân tích Kinh doanh - MSB DF - DXA - 1M360

Lượt xem: 202

Ngày cập nhật: 14-04-2024

Địa điểm: Hà Nội

Ngành nghề: Tài chính/ Ngân hàng/ Chứng khoán IT - Phần mềm

Vị trí: Nhân viên

Mức lương: 40 Tr - 50 Tr VND

Trình độ: Đại học

Kinh nghiệm: 5 - 6 Năm

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Mô tả công việc

1. The Job Holder Responsible For

Use analysis and business understanding to implement Customer Value Management (CVM) process, which aims to increase Customer value through Finding who are the targeted customers, What to offer them, How to touch them, and Testing metrics to track and measure campaign efficiency.
Use analysis and business understanding to help the business better understand what has happened, and find out the root cause of many business problems.

2. Key Accountabilities

Data and Reporting:

Create and maintain data in a sense that it can be re-used in different ways for different purposes.
Communicate and align with stakeholders to translate business requirements into data requirements.
Perform analysis of datasets to develop metrics (both financial and non-financial metrics), reports and visualizations mostly for performance management.
Build data model and use data visualization tools to generate dashboards, reports and presentations that aid in data storytelling. Understanding and interpretation of trends and patterns to provide meaningful insights.

Customer Insight Analysis:

Using analytic approach and model (segmentation and descriptive) to identify meaningful and actionable customer insights from various data sources.
Using analytic techniques to segment customers and find out tactical segments of targeted customers, and test hypothesis of whether customers like our offerings.
Use that information to better understand our customers through time.

Bachelors degree in Finance, Banking, Statistics, Mathematics or Quantitative Analysis
2+ years (for Junior) and 5+ year (for Senior) of relevant experience in areas of data analysis, reporting and planning. Experience in Banking Industry is a big plus.
Experience in data query and analytic tools (e.g. SQL, R, Python, SPSS …)
Experience in building reporting using BI tools (e.g. Tableau, Power BI, IBM Cognos …)
Experience communicating complex analysis and models across a diverse team
Experience in data management, data modeling and ETL
Deep understanding of Information Security principles to ensure compliant handling and management of data
Strong understanding of Agile principles, practices and scrum methodology
Experience working in Agile teams to support digital transformation projects

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