Vui lòng bật chia sẻ vị trí để Toppy Ai gợi ý những cơ hội việc làm phù hợp nhất dành riêng cho bạn
Tổng quan
Mô tả công việc
We are rebuilding our Data Analytics Team into a Data Intelligence Team — a team that not only delivers reports and dashboards, but also builds the company's data foundation, metric systems, self-service analytics capabilities, and AI-powered analytics workflows.
We are looking for a Data Intelligence Lead to drive this transformation.
This role is ideal for someone with a strong background in Data Analytics, Analytics Engineering, or Data Platforms, a deep understanding of business operations, proven team leadership capabilities, and a strong interest in applying AI Agents and Generative AI to accelerate decision-making across the organization.
MISSION
Build the Data Intelligence Team into a high-leverage function for the entire company through:
- Trusted data
- Clear metrics
- Reusable dashboards and reports
- Self-service analytics
- AI analytics tools
- Automated insights, alerts, and monitoring
- Decision support for business teams and leadership
The goal is not to produce more reports, but to help the company make decisions faster, more accurately, and with less dependence on manual analysis.
WHAT YOU WILL DO1. Lead the Data Intelligence Strategy
- Redesign the operating model of the Data Team, transitioning from request-based reporting to proactive decision support.
- Build the roadmap for Data Platform, Analytics Engineering, Business Analytics, AI Analytics, and Data Governance.
- Work directly with Leadership, Product, Sales, Marketing, Operations, and Finance teams to identify high-impact data opportunities.
- Translate business goals into metrics, OKRs, dashboards, alerts, and AI workflows.
- Prioritize data initiatives based on business impact rather than request volume.
2. Build the Metric Layer and Semantic Layer
- Standardize key business metrics such as revenue, GMV, retention, churn, activation, conversion, CAC, LTV, gross margin, campaign performance, and operational efficiency.
- Build reusable datasets, data marts, semantic models, and metric definitions.
- Ensure business users, dashboards, and AI tools share a consistent understanding of data.
- Document business logic, assumptions, data context, and limitations.
- Eliminate inconsistencies caused by different teams calculating metrics differently.
3. Manage Data Platform and Data Quality
- Build and operate the Data Warehouse, ETL/ELT pipelines, BI systems, alerting systems, and analytics infrastructure.
- Ensure Data Quality, Data Security, Data Availability, and Data Governance.
- Standardize processes for data modeling, testing, documentation, code review, and release management.
- Collaborate with Engineering teams to improve event tracking, data contracts, and source data reliability.
- Build data monitoring and data observability capabilities to detect data issues early.
4. Drive Business Analysis and Decision Support
- Proactively analyze business challenges, identify insights, and provide clear recommendations.
- Support teams with funnel analysis, cohort analysis, segmentation, attribution, experiment readouts, and performance reviews.
- Transform recurring business questions into reusable dashboards, metrics, alerts, or AI workflows.
- Enable leadership with reliable and transparent business performance monitoring systems.
5. Build AI Analytics Workflows
- Lead the adoption of Generative AI, AI Agents, and AI-assisted workflows within the Data Team.
- Build or guide the development of AI Analytics Tools that enable business users to access and analyze data more effectively.
- Build internal data agents for use cases such as:
- Natural language data querying
- SQL generation and SQL review
- Daily and weekly business summaries
- Revenue, campaign, and product anomaly detection
- Root-cause analysis
- Experiment readout automation
- Customer churn and expansion signal detection
- Ensure AI outputs are validated, properly permissioned, source-cited, and based on trusted data.
- Research and apply MCP, RAG, Vector Databases, Semantic Layers, AI Agents, and workflow automation where appropriate.
6. Build and Develop the Data Team
- Manage and develop a team of Data Analysts, Analytics Engineers, and Data Engineers.
- Evolve the team from a request-driven model to a proactive, high-ownership, AI-native operating model.
- Establish standards for data quality, documentation, analytical rigor, AI usage, and stakeholder communication.
- Coach team members to effectively leverage AI tools in their daily work.
- Recruit and develop talent with a combination of business thinking, data expertise, and an automation mindset.
EXPECTED OUTCOMES IN THE FIRST 3 MONTHS
- A clearly defined operating model for the Data Intelligence Team.
- A prioritized roadmap for Data Platform, Analytics Engineering, and AI Analytics initiatives.
- Standardization of the company's most critical business metrics.
- Reduction in repetitive ad-hoc reporting and manual analysis.
- Faster turnaround for answering key business questions.
- Improved Data Quality, documentation, and governance.
- Initial AI Analytics workflows adopted by business teams.
- More reliable business performance monitoring systems for leadership.
Yêu cầu ứng viên
Experience
- Experience in Data Analytics, Analytics Engineering, Data Platforms, Data Engineering, BI, or Data Consulting.
- Experience managing or leading Data Teams.
- Experience solving real business problems using data.
- Experience working directly with leadership and business stakeholders.
- Experience building or operating Data Warehouses, BI systems, data marts, semantic models, or self-service analytics platforms.
Business & Leadership
- Strong business thinking and the ability to connect data initiatives with revenue, growth, cost optimization, product, and operations outcomes.
- Ability to challenge ambiguous business questions and translate them into measurable analytical problems.
- Strong communication skills across business teams, engineering teams, and leadership.
- Strong prioritization skills and the ability to avoid low-impact reporting work.
- High ownership, systems thinking, and the ability to lead organizational change.
Technical
- Strong SQL proficiency.
- Solid understanding of Data Warehousing, Data Modeling, ETL/ELT, Data Quality, and Data Governance.
- Experience with BI tools such as Metabase, Power BI, Looker, Tableau, or equivalent.
- Experience with dbt or similar analytics engineering workflows.
- Proficiency in Python and Git.
- Experience with AWS, Redshift, BigQuery, Snowflake, PostgreSQL, ClickHouse, or equivalent technologies.
- Ability to design reusable datasets, semantic models, data marts, and reporting layers.
AI & Automation
- Experience with, or strong interest in, applying AI to analytics workflows.
- Understanding of AI Analytics Tools, AI Agents, AI Workflows, or AI-powered automation.
- Knowledge of Prompt Engineering, MCP, RAG, Vector Databases, or LLM tool-calling is a plus.
- Ability to evaluate AI outputs in terms of accuracy, reliability, security, and business usefulness.
- Proactively researches and adopts new tools to improve Data Team productivity.
NICE TO HAVE
- Experience building natural language analytics or “chat with data” tools.
- Experience with Semantic Layer and Metric Layer implementations.
- Experience with data observability, lineage, or data contracts.
- Experience in product analytics, marketing analytics, sales analytics, or ecommerce analytics.
- Experience building business review systems for leadership teams.
- Experience building internal AI Agents or workflow automation solutions.
- Previous experience working in startups or multi-product companies.
ARE YOU AI-NATIVE?
You are not just a Reporting Lead.
You are someone who wants to build a modern, fast-moving, proactive Data Team that creates measurable business impact.
You may be a great fit for this role if you:
- Are not satisfied with a Data Team that only builds dashboards and reports on request.
- Want to use AI to reduce manual work and accelerate analysis.
- Can communicate with business stakeholders using business language, not just SQL.
- Can build reliable metric systems and data foundations.
- Can lead teams through workflow transformation and change.
- Care more about business outcomes than the number of reports delivered.
- Want to build a Data Intelligence Team from the existing foundation.
Quyền lợi ứng viên
You'll find this place irresistible
Enjoy top-tier compensation, including:
Compensation & Rewards
- Competitive monthly NET salary, transparent and fully take-home
- up to 16 months’ salary per year, including a 13th-month salary, quarterly incentives, and annual performance bonuses.
Work Flexibility & Time Off
- 24 remote working days per year, enabling a healthy work–life balance
- 12 days of paid annual leave, in addition to public holidays
- Flexible working hours, Monday to Friday – weekends are fully yours
Well-being & Employee Care
- Annual health check-ups
- Full social insurance coverage (BHXH) in compliance with Vietnamese labor regulations
- Company-sponsored sports clubs to support both physical and mental well-being
- Regular company trips and team bonding activities
Career Growth & Work Environment
- Be part of a fast-growing global B2B SaaS organization
- Clear and accelerated career development and promotion pathways
- Collaborate with talented, diverse, and high-performing teams across regions
- Work in a modern, open, and empowering environment where individuality is respected and potential is nurtured
We are not just building products — we are building a workplace where people can grow, perform at their best, and create long-term impact.
Địa điểm và thời gian
Địa điểm làm việc
- Hà Nội: 36 Hoàng Cầu, Phường Ô Chợ Dừa (quận Đống Đa cũ)
Thời gian làm việc
- Thứ 2 - Thứ 6 (từ 09:30 đến 18:30)
- Check in linh hoạt từ 8:00 AM đến 10:00 AM
Remote 2 ngày/ tháng
Làm việc từ T2- T6
Cách thức ứng tuyển
- Ứng viên nộp hồ sơ trực tuyến bằng cách bấm Ứng tuyển ngay dưới đây.
Hạn ứng tuyển: 27/08/2026
Việc làm liên quan
Thông tin chung
Dưới đây là những dấu hiệu của các tổ chức, cá nhân tuyển dụng không minh bạch:
- Kiểm tra thông tin về công ty, việc làm trước khi ứng tuyển
- Báo cáo tin tuyển dụng với TopCV thông qua nút "Báo cáo tin tuyển dụng" để được hỗ trợ và giúp các ứng viên khác tránh được rủi ro
-
Hoặc liên hệ với TopCV thông qua kênh hỗ trợ ứng viên của TopCV:
Email: hotro@topcv.vn
Hotline: 1900 068 889 | Nhánh 2
Tìm hiểu thêm kinh nghiệm phòng tránh lừa đảo tại đây
Cơ hội ứng tuyển việc làm với đãi ngộ hấp dẫn tại các công ty hàng đầu
Trước sự phát triển vượt bậc của nền kinh tế, rất nhiều ngành nghề trở nên khan hiếm nhân lực hoặc thiếu nhân lực giỏi. Vì vậy, hầu hết các trường Đại học đều liên kết với các công ty, doanh nghiệp, cơ quan để tạo cơ hội cho các bạn sinh viên được học tập, rèn luyện bản thân và làm quen với môi trường làm việc từ sớm. Trong danh sách việc làm trên đây, TopCV mang đến cho bạn những cơ hội việc làm tại những môi trường làm việc năng động, chuyên nghiệp.
Vậy tại sao nên tìm việc làm tại TopCV?
Việc làm Chất lượng
- Hàng ngàn tin tuyển dụng chất lượng cao được cập nhật thường xuyên để đáp ứng nhu cầu tìm việc của ứng viên.
- Hệ thống thông minh tự động gợi ý các công việc phù hợp theo CV của bạn.
Công cụ viết CV đẹp Miễn phí
- Nhiều mẫu CV đẹp, phù hợp nhu cầu ứng tuyển các vị trí khác nhau.
- Tương tác trực quan, dễ dàng chỉnh sửa thông tin, tạo CV online nhanh chóng trong vòng 5 phút.
Hỗ trợ Người tìm việc
- Nhà tuyển dụng chủ động tìm kiếm và liên hệ với bạn qua hệ thống kết nối ứng viên thông minh.
- Báo cáo chi tiết Nhà tuyển dụng đã xem CV và gửi offer tới bạn.
Tại TopCV, bạn có thể tìm thấy những tin tuyển dụng việc làm với mức lương vô cùng hấp dẫn. Những nhà tuyển dụng kết nối với TopCV đều là những công ty lớn tại Việt Nam, nơi bạn có thể làm việc trong một môi trường chuyên nghiệp, năng động, trẻ trung. TopCV là nền tảng tuyển dụng công nghệ cao giúp các nhà tuyển dụng và ứng viên kết nối với nhau. Nhanh tay tạo CV để ứng tuyển vào các vị trí việc làm mới nhất hấp dẫn tại việc làm mới nhất tại Hà Nội, việc làm mới nhất tại TP.HCM ở TopCV, bạn sẽ tìm thấy những việc làm mới nhất với mức lương tốt nhất!
