WALL STREET ENGLISH ★ 3.1

Mô tả Công việc

1. Business Insight Enablement

• Work with stakeholders to gather requirements and define KPIs that support business strategies
• Translate business needs into visual analytics (dashboards, reports) using Superset or equivalent BI tools
• Promote data adoption and guide teams on self-service analytics.

2. Data Governance & Framework

• Collaborate across departments to maintain a consistent data dictionary and metadata standards
• Monitor compliance with data policies and ensure adherence to privacy/protection regulations
• Ensure data traceability and auditability in all reports and outputs.

3. Data Lifecycle & Modeling

• Curate, organize, and manage structured datasets for analytical use
• Work with the Data Engineer to ensure data pipelines meet business analysis requirements
• Document dataset logic and structure in an accessible knowledge base.

4. Analytical Support & Root Cause Analysis

• Conduct targeted analyses to support strategy, budgeting, and performance monitoring
• Identify anomalies or underperformance in KPIs and communicate insights clearly
• Support predictive or advanced analytics in partnership with tech/data teams.

5. Stakeholder Collaboration

• Serve as the key contact point for business teams needing data insight or visualization support
• Train users in dashboard use, interpretation of metrics, and data literacy practices
• Maintaining relationships with functional leads to anticipating upcoming data needs.

Yêu Cầu Công Việc

• Strong SQL/ excel and database management skills (e.g., PostgreSQL, MySQL, Athena Redshift) are the must.
• Knowledge of Python for analytical tasks is a strong plus
• Familiarity with data governance principles and experience in enforcing them
• Experienced in business requirement analysis and presenting insights to non-technical stakeholders.

Tools & Technologies

•  Python, GitLab, Linux, Bash, SQL
• Airflow, Docker, PostgreSQL/MySQL, Parquet/JSON/CSV
• Cloud (AWS/Azure), Monitoring tools (Grafana)
• Bachelor's degree in information technology, or relevant majors
• The Data Engineer certification obtained is advanced
• Minimum working experience: 3+ years in BI/Data Analysis or Specialist role, ideally in enterprise environments.