Senior Data Analyst
Intrepid Group Xem tất cả việc làm
- Tp Hồ Chí Minh
- Lâu dài
- Toàn thời gian
- Build DaaS semantic and reporting foundations
- Design and maintain governed semantic models in Cube.dev (measures, dimensions, business logic).
- Standardize metric definitions across Superset and Looker Studio to ensure consistency.
- Partner with data engineering to ensure BigQuery models are reporting-ready and reliable.
- Maintain documentation for KPI definitions, report logic, and data assumptions.
- Build dashboards and reports (core expectation)
- Design, build, and maintain dashboards in Apache Superset and Looker Studio.
- Create recurring and ad-hoc reports for business and regional stakeholders.
- Translate business questions into actionable visualizations and clear insights.
- Improve dashboard usability, performance, and data trust.
- Own BAU analytics support
- Handle BAU report/dashboard requests and incidents with clear prioritization.
- Troubleshoot data/reporting issues and coordinate fixes with technical teams.
- Ensure SLA-oriented turnaround for critical business reporting needs.
- Reduce duplicate requests by improving reusable dashboards and metric layers.
- Execute delivery in Scrum/Kanban mode
- Manage work through backlog, sprint/kanban flow, estimation, and status updates.
- Break work into clear tasks/stories and communicate progress and risks.
- Balance DaaS build work with BAU commitments.
- Support practical AI adoption in analytics
- Apply AI tools where useful (e.g., n8n/LLM workflows) to improve reporting efficiency.
- Contribute to AI-enabled analytics use cases such as metric discovery and reporting automation.
- 5+ years in BI/analytics with strong hands-on dashboard/report delivery.
- Strong SQL and data analysis skills.
- Experience with BigQuery (or equivalent cloud data warehouse).
- Strong hands-on experience with Apache Superset and Looker Studio (or equivalent BI tools).
- Experience with data modeling for analytics (fact/dimension, KPI logic, semantic consistency).
- Familiar with agile delivery ways of working (Scrum/Kanban).
- Strong stakeholder management and requirement translation skills.
- Able to manage BAU and project delivery in parallel.
- Hands-on Cube.dev experience (highly preferred).
- Experience in eCommerce/marketplace analytics.
- Exposure to n8n, LLM APIs, or AI-assisted analytics workflows.
- Python, App Script exposure (optional, not required).
- Ship impact in agile cycles. Partner with stakeholders, iterate fast, and enable decisions from weeks to minutes
- Build the governed data foundation. Ultimately, this serves as a trusted semantic layer for self-service.
- Fuse performance with market intelligence. Benchmark price, assortment, content, share, and sentiment to reveal gaps and opportunities.
- Drive measurable outcomes. Help customers grow revenue by continuously identifying gaps and opportunities, optimise costs through automation, and improve accountability with clear metrics.
- Think big, build scalable. Design solutions that handle multi-marketplace complexity with efficiency and reliability.