Mô tả công việc
Reports to / Báo cáo cho: IT Data Engineer Manager
Introduction about HC and position:
Home Credit Vietnam officially operated in Vietnam since 2008, is one of the leading companies in the consumer financial field with 3 outstanding benefits for customers: fast, convenient and friendly. Home Credit now has the headquarters in HCMC and representative offices in 10 provinces nationwide.
In Vietnam market, Home Credit is now one of leading consumer finance companies. After 10 years of operation, Home Credit has built the network of 7,000 retail outlets in 63 cities and provinces nationwide.In this role, you’ll have the opportunity to define how Home Credit Vietnam consumes data and enable teams and users to make data-informed decisions.You will be responsible for overseeing data management activities including, data quality and maintenance of the business glossary to help our employees and the broader Home Credit Vietnam community. You’ll have the opportunity to leverage our massive datasets, work with the latest BI technologies and help us with choosing a right tool for data management.
Responsibilities:
- Promoting the concept of data as a business asset
- Becoming a subject matter expert in data availability, quality, and suitability for downstream use
- Fostering relationships with business units and developing an understanding of business functions and data needs
- Acting as project lead for evaluation, selection, and deployment of metadata management solution and/or data catalog platform(s)
- Coordinating initial automated, targeted, and crowd sourced documentation and annotation of data resources, including: Database, Table, Views, Values, ETL Package, Data Linage, Data Dictionary, Other datameta
- Developing and implementing methods for formal data resource certification
- Providing demonstrations of and training on metadata management / data catalog platform(s) and certifying users
- Socializing data management initiatives and promoting adoption
- Identifying problems, gaps, and opportunities, and recommending strategic and tactical options to address
- Apply and enforce data standards and guidelines as established within the data governance framework to drive consistency in data definitions, sources, data usage and quality
- Develops and executes data quality strategies, establishing and ensuring processes to continuously monitor data quality and to proactively detect, correct and prevent invalid data
- Develop and maintain data stewardship procedures and documentation
- Develop data dictionary and data definitions for each data subject including data standards, data formats, preferred data sources, validation rules and data usage policies
- Create metrics to measure data quality targets and conduct policy reviews to ensure business processes are effective in minimizing risk derived from bad data
- Conduct research into data quality issues and develop programs/scripts to profile data within key data stores
Chia sẻ
Bình luận