Product Analyst (Sales & Marketing)
Về công việc
Trách nhiệm chính
- Metric ownership: Own the definitions, documentation, and change control for your domain's certified metrics.
- Data quality: Define and enforce freshness, completeness, and accuracy expectations for the datasets and pipelines behind your domain's metrics.
- Analytics engineering (dbt): Design, build, and maintain the dbt models and semantic layer that serve your domain – written in SQL and Python, version‑controlled in Git, tested, and documented.
- In‑product features: Build in‑product data and insight features end to end – embedded metric panels, insight cards, exception and alert surfaces, prioritized work queues, agent‑assisted workflow steps, and the instrumentation behind them.
- Analysis & reporting: Provide support to business users with more complex analytics requests, enabling them to self‑service in the long run.
- Collaboration: Partner with product managers, engineers, and business owners in your domain; document your work so others can use and extend it; and support business users querying certified metrics themselves.
Yêu cầu
- Strong SQL query writing, data modeling, and performance‑aware analytics against large datasets; comfortable with CTEs, window functions, and reading an execution plan when a query is slow.
- Proficient in Python for data analysis, transformation, automation scripting, and rapid prototyping (pandas or similar).
- Experience: 3‑5 years in analytics engineering, data analysis, BI, or a comparable data role, with at least one example of work you owned end to end.
- Data quality instinct: Habit of validating your own numbers before publishing them – reconciliation against source, sanity checks, and a documented definition behind every metric you ship.
- Business curiosity: Ability to learn a business process deeply and translate it into metrics, instrumentation, and requirements engineers can build against.
- Clear written and verbal communication with business stakeholders; able to explain a number, defend a definition under challenge, and say when the data does not support the conclusion.
Yêu cầu ưu tiên
- Experience with modern BI or AI‑native analytics platforms and metric certification workflows.
- Advanced dbt practice: custom generic tests, macros and packages, exposures, or CI‑enforced model builds.
- Data quality or observability tooling beyond dbt tests (Great Expectations, Elementary, or similar).
- Hands‑on use of agentic AI development tooling to prototype features or automate analysis.
- Exposure to shipping software under engineering standards: version control, code review, tests, feature flags.
Thông tin khác
- Địa điểm làm việc: Thành phố Hồ Chí Minh
- OPSWAT là nhà tuyển dụng bình đẳng, không phân biệt chủng tộc, màu da, tôn giáo, tuổi tác, giới tính, quốc tịch, tình trạng khuyết tật, hoặc bất kỳ đặc tính bảo vệ nào khác.
- Không chấp nhận hồ sơ từ các công ty tuyển dụng bên thứ ba mà không có hợp đồng tuyển dụng được phê duyệt.