Data Analytics Manager
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Địa điểm làm việc: Hồ Chí Minh
Hết hạn: 05/04/2023
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- Giới thiệu công ty
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Mô tả công việc
1/ Data analytics:
- Mine and analyze data from company and third-party databases (if & where applicable) to drive optimization and improvement of key business / operations metrics
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Managing and designing the reporting environment, including data sources, security, and metadata
- Supporting the data warehouse in identifying and revising reporting requirements
- Supporting initiatives for data integrity and normalization
- Develop custom data models and algorithms to apply to data sets using machine learning techniques
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
- Helping develop reports and analysis from single or multiple systems using BI (Business Intelligence) tools such as PowerBI, Qlik, Tableau etc
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition / retention, distribution channel performance & optimization, operational efficiency and other key business performance metrics that can lead to transformation initiatives that can drive superior customer experience
- Processing confidential data and information according to guidelines
2/ Risk Management:
- Be responsible & accountable for planning/execution of business objectives in conformity with risk management requirements and compliance with all internal and external regulations
- Ensure that data usage, management, production & analysis is done in accordance with Risk & Compliance guidelines
- Mine and analyze data from company and third-party databases (if & where applicable) to drive optimization and improvement of key business / operations metrics
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Managing and designing the reporting environment, including data sources, security, and metadata
- Supporting the data warehouse in identifying and revising reporting requirements
- Supporting initiatives for data integrity and normalization
- Develop custom data models and algorithms to apply to data sets using machine learning techniques
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
- Helping develop reports and analysis from single or multiple systems using BI (Business Intelligence) tools such as PowerBI, Qlik, Tableau etc
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition / retention, distribution channel performance & optimization, operational efficiency and other key business performance metrics that can lead to transformation initiatives that can drive superior customer experience
- Processing confidential data and information according to guidelines
2/ Risk Management:
- Be responsible & accountable for planning/execution of business objectives in conformity with risk management requirements and compliance with all internal and external regulations
- Ensure that data usage, management, production & analysis is done in accordance with Risk & Compliance guidelines
Yêu cầu
- Degree in Business, Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline
- Min 3 years of solid experience in business intelligence/ business analytics
- Ability to interpret data and translate them into actionable insights, not just data extraction and reporting
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required
- Skilled in SQL and Excel
- SAS knowledge is a big plus
- Familiarity with one of the programming language R/Python is a plus
- Critical thinking
- Curiosity mindset & Can-do attitude
- Good communication skills
- Min 3 years of solid experience in business intelligence/ business analytics
- Ability to interpret data and translate them into actionable insights, not just data extraction and reporting
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required
- Skilled in SQL and Excel
- SAS knowledge is a big plus
- Familiarity with one of the programming language R/Python is a plus
- Critical thinking
- Curiosity mindset & Can-do attitude
- Good communication skills
Quyền lợi
13th salary and performance bonus
20 annual leave day per year
Laptop for each employee
20 annual leave day per year
Laptop for each employee
Thông tin khác
Ngày Đăng Tuyển
[protected info]
Cấp Bậc
Trưởng phòng
Ngành Nghề
Bảo hiểm
, IT - Phần mềm
, IT-Phần cứng/Mạng
Kỹ Năng
Data Analyst, Data Analysis, Power BI Microsoft, Data Visualization, Business Intelligence
Ngôn Ngữ Trình Bày Hồ Sơ
Bất kỳ
[protected info]
Cấp Bậc
Trưởng phòng
Ngành Nghề
Bảo hiểm
, IT - Phần mềm
, IT-Phần cứng/Mạng
Kỹ Năng
Data Analyst, Data Analysis, Power BI Microsoft, Data Visualization, Business Intelligence
Ngôn Ngữ Trình Bày Hồ Sơ
Bất kỳ
Thông tin chung
- Ngày hết hạn: 05/04/2023
- Thu nhập: Thỏa thuận
Giới thiệu công ty
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