Sr. Data QA (Mandarin)

Role Overview:

Senior Data Quality Analyst (Mandarin)

The role will be part of an offshore research and analytics team working for a global investment banking client. The team provides evidence-based research and analytics to client equity analysts to inform investment debates.

As a Senior Analyst, you will be expected to:

• Interact with clients and team members to understand project objectives and existing data architecture
• Take full ownership of data of assigned projects
• Use technical skills to automate data quality checks and conduct further data investigation as needed
• Coach and guide junior analysts

Responsibilities:

• Participates in the solution design and development process of assigned projects, which includes but not limited to: 
  • Coordinating across all functional teams
  • Assisting the developer team and working with the data engineer in creating the necessary QC steps that need to be included in the automation of the project
• Takes ownership of data of assigned projects
  • Performs data quality checks and validation on new and existing projects to ensure that data/projects are error-free and delivered on a pre-agreed frequency or on-going basis
  • Conducts deep dive data investigation and triangulation
  • Identifies and raises data-related issues or anomalies on assigned projects to other functional teams or to the client; provides recommendations on possible solutions
  • Creates and ensures QA docs of handled projects are up-to-date
  • Manages the progress and delivery of assigned big projects across other QA members
  • Updates and delivers error-free analysis files on a pre-agreed frequency or on-going basis
  • Communicates with the client data-related, or in some cases project-related matters
  • Identifies and/or implements process improvements within the functional team, or the overall group, which includes but not limited to, creating automated data quality checks
  • Ensures compliance with regulatory requirements, including information security and confidentiality provisions of the client.
  • Serves as back-up to the QA Team Lead and may serve as back-up of other QA members projects if needed
  • Participates in all trainings and sessions required.
  • Any adhoc tasks as advised by the manager.

Requirements:

• Candidate must possess at least a Bachelor's/College Degree of any field, preferably Statistics.
• Proficient in MS Excel and has basic Python knowledge.
• Has at least 4 years of relevant work experience in data management or data quality control.
• Good English communication skills both verbal and written.
• Good Mandarin communication skills reading/written (REQUIRED)
• Comfortable in dealing and analyzing large datasets.
• Excellent interpersonal skills. Has experience working and collaborating with multi-cultural and multifunctional teams.
• Excellent communication skills and an ability to work under pressure to tight deadlines.
• Mid-shift and is flexible to shift changes as needed.