Data Analytics

- Lead cross-functional projects using data modeling and analysis techniques to design strategic solutions (data model blueprints)
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics for key business decisions
- Design and build technical processes to address business issues
- Design and deliver reports and insights that analyze business functions and key operations and performance metrics.
- Train, develop and supervise analyst-level employees.
- Ensure accuracy of data and deliverables of reporting employees along with self-deliverables with comprehensive policies and processes
- Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables
- Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
- Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
***Responsibilities and authority:
Responsibilities:
- Comply with the assignments and requests from department/ center’s senior management
- Comply with regulatory regulations, regulations of industry, processes, policies, labor regulations and code of professional ethics, EY’s code of conduct
- Complete assigned jobs in a timely manner to ensure the progress and the quality. Also, be responsible for the result of self - performance in front department/ center’s senior management
Authority:
- Proactively finish the assigned tasks as per required. Propose ideas related to implement department’s tasks, have the right to reserve opinion in case of disagreement with the authority levels.
- Self-assessment on work performance
- Perform other tasks assigned by senior management

7 years prior experience in one of the following (a) leading the execution of strategic data projects with banks or similar role, (b) with banks, or insurance (c) a former lead role to work as an individual contributor within a bank or any finance company
Qualification:
- Professional qualification: Bachelor's degree/master’s degree in related field (technology, engineering, IT). Data engineering trainings and certifications is a value add.
- English level: Having English proficiency to meet EY’s clients’ requirements. English proficiency.
- Computer skill: Fluency in Microsoft office, data analytics tools
Knowledge and skills
- Knowledge of the banking or insurers business acumen
- Have significant knowledge of banking or insurance data model
- Good cross functional and external stakeholder management skills
- A high level of mathematical ability, data visualization and presentation skills
- Programming languages, such as SQL is a must (SQL server, Oracle, IBM, etc)
- Cloud skills: AWS, Azure, IBM Cloud, etc (Any 1)
- Next Gen programming skills (Spark, Scala, PySpark, etc) (Any 1-2)
- The ability to analyse, model and interpret data using ETL techniques
- A methodical and logical approach
- The ability to plan work and meet deadlines
- Accuracy and attention to detail
- Interpersonal and teamwork
- Written and verbal communication skills (English & Vietnamese)

Negotiable & attractive salary
Professional, dynamic working environment
Clear career path and promotion opportunities. Education Sponsorship and Oversea Travel