Data Lead
- Thỏa thuận
- 8 năm kinh nghiệm
Hạn nộp hồ sơ: 27/12/2026 (Còn 59 ngày)
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Never settle, think bigger. Vulcan Labs is a leading mobile application development company based in Ho Chi Minh City, Vietnam. Since 2017, we have published over 40+ mobile applications with several hundred thousand Daily Active Users and over 10 million downloads combined. We welcome individuals from diverse backgrounds to join our team and embrace challenges in a fast-changing industry.
We are looking for a Data Lead who combines strong business thinking with a passion for turning data into actionable insights and business impact.
As a Data Lead in our team, you will:
1.Data Strategy & Predictive Modeling
Define the Data strategy and roadmap, ensuring scalable data capabilities to support product and marketing needs.
Build and deploy predictive models, such as predictive Lifetime Value (pLTV), revenue forecasting, and user behavior prediction.
Apply data analysis and modeling techniques to improve the accuracy and reliability of predictions.
Develop and optimize data models, analytical frameworks, and measurement methodologies to support product growth and monetization.
Monitor model performance, validate predictions, and continuously improve models based on new data and evolving business needs.
2.Data Analytics & Business Insights
Lead the Data Analytics team in delivering high-quality analysis, dashboards, and insights that support product and business decisions.
Establish consistent definitions for key business and product metrics, including acquisition, activation, retention, engagement, conversion, revenue, and Lifetime Value (LTV).
Guide analyses of user behavior, product funnels, cohort performance, monetization opportunities, and marketing effectiveness.
Promote rigorous experimentation practices, including A/B testing, hypothesis validation, and measurement of product and growth initiatives.
Ensure analytics outputs go beyond reporting to identify root causes, opportunities, and actionable next steps.
3.Data Engineering & Infrastructure
Lead the development of scalable, reliable, and maintainable data infrastructure to support analytics and business needs.
Oversee data pipelines, data integration, data modeling, data warehouse architecture, and data quality monitoring.
4.Marketing Technology
Oversee the integration and effective use of marketing analytics platforms, attribution tools, tracking systems, and relevant marketing technology solutions.
Ensure consistency and reliability in campaign tracking, attribution, conversion measurement, and marketing performance data.
Partner with Marketing/Growth teams to improve visibility into campaign performance, user quality, acquisition efficiency, and downstream revenue.
5.Team Leadership & Development
Foster collaboration across Data, Product, Marketing/Growth, Monetization, and Engineering teams.
Develop a scalable operating model that balances shared data capabilities with the specific needs of individual product teams.
What we're looking for:
8+ years of experience in Data Analytics, Business Intelligence, Data Engineering, or a related data field, with relevant experience leading projects, teams, or cross-functional initiatives.
Strong understanding of the Martech industry, particularly mobile app marketing, attribution, tracking systems, and monetization.
Experience with marketing analytics platforms and data integration to measure user acquisition, campaign performance, and business outcomes.
Strong proficiency in SQL, statistical analysis, data modeling, and data-driven problem-solving.
Experience developing predictive models such as pLTV, revenue forecasting, or user behavior prediction is a strong advantage.
Experience leading data projects or initiatives, with the ability to prioritize tasks, allocate resources, and ensure effective execution.
Strong strategic thinking, stakeholder management, and cross-functional collaboration skills, with a focus on building scalable data capabilities and delivering business impact.
Why do you love working here?
Grow Yourself: Work with young, talented teammates on global apps across a diverse portfolio and varying app sizes (Mainly in AI domain)
Attractive Package: 13th-month salary, performance bonus, and biannual performance reviews based on achievements and contributions.
Healthy Culture: 12 days of annual leave and 5 days of sick leave, health-care insurance, annual health check, and a dedicated team-bonding budget.
Well-equipped Facility: MacBook provided, with an additional monitor available if needed.
Diverse Activities: Complimentary coffee, tea, and snacks; company trips; team-building activities; and quarterly happy-hour events.
Innovative Environment: Flexible working hours, one remote day per month, seminars and internal sharing sessions, and a culture with no barriers to ideas.
Should you be interested in this position, kindly send your profile to email: [protected info] with the subject: [Position Title] - [Your Name]
We are looking for a Data Lead who combines strong business thinking with a passion for turning data into actionable insights and business impact.
As a Data Lead in our team, you will:
1.Data Strategy & Predictive Modeling
Define the Data strategy and roadmap, ensuring scalable data capabilities to support product and marketing needs.
Build and deploy predictive models, such as predictive Lifetime Value (pLTV), revenue forecasting, and user behavior prediction.
Apply data analysis and modeling techniques to improve the accuracy and reliability of predictions.
Develop and optimize data models, analytical frameworks, and measurement methodologies to support product growth and monetization.
Monitor model performance, validate predictions, and continuously improve models based on new data and evolving business needs.
2.Data Analytics & Business Insights
Lead the Data Analytics team in delivering high-quality analysis, dashboards, and insights that support product and business decisions.
Establish consistent definitions for key business and product metrics, including acquisition, activation, retention, engagement, conversion, revenue, and Lifetime Value (LTV).
Guide analyses of user behavior, product funnels, cohort performance, monetization opportunities, and marketing effectiveness.
Promote rigorous experimentation practices, including A/B testing, hypothesis validation, and measurement of product and growth initiatives.
Ensure analytics outputs go beyond reporting to identify root causes, opportunities, and actionable next steps.
3.Data Engineering & Infrastructure
Lead the development of scalable, reliable, and maintainable data infrastructure to support analytics and business needs.
Oversee data pipelines, data integration, data modeling, data warehouse architecture, and data quality monitoring.
4.Marketing Technology
Oversee the integration and effective use of marketing analytics platforms, attribution tools, tracking systems, and relevant marketing technology solutions.
Ensure consistency and reliability in campaign tracking, attribution, conversion measurement, and marketing performance data.
Partner with Marketing/Growth teams to improve visibility into campaign performance, user quality, acquisition efficiency, and downstream revenue.
5.Team Leadership & Development
Foster collaboration across Data, Product, Marketing/Growth, Monetization, and Engineering teams.
Develop a scalable operating model that balances shared data capabilities with the specific needs of individual product teams.
What we're looking for:
8+ years of experience in Data Analytics, Business Intelligence, Data Engineering, or a related data field, with relevant experience leading projects, teams, or cross-functional initiatives.
Strong understanding of the Martech industry, particularly mobile app marketing, attribution, tracking systems, and monetization.
Experience with marketing analytics platforms and data integration to measure user acquisition, campaign performance, and business outcomes.
Strong proficiency in SQL, statistical analysis, data modeling, and data-driven problem-solving.
Experience developing predictive models such as pLTV, revenue forecasting, or user behavior prediction is a strong advantage.
Experience leading data projects or initiatives, with the ability to prioritize tasks, allocate resources, and ensure effective execution.
Strong strategic thinking, stakeholder management, and cross-functional collaboration skills, with a focus on building scalable data capabilities and delivering business impact.
Why do you love working here?
Grow Yourself: Work with young, talented teammates on global apps across a diverse portfolio and varying app sizes (Mainly in AI domain)
Attractive Package: 13th-month salary, performance bonus, and biannual performance reviews based on achievements and contributions.
Healthy Culture: 12 days of annual leave and 5 days of sick leave, health-care insurance, annual health check, and a dedicated team-bonding budget.
Well-equipped Facility: MacBook provided, with an additional monitor available if needed.
Diverse Activities: Complimentary coffee, tea, and snacks; company trips; team-building activities; and quarterly happy-hour events.
Innovative Environment: Flexible working hours, one remote day per month, seminars and internal sharing sessions, and a culture with no barriers to ideas.
Should you be interested in this position, kindly send your profile to email: [protected info] with the subject: [Position Title] - [Your Name]
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
Công ty TNHH Manpower Việt Nam
Hà Nội
Từ 4 Triệu - Dưới 8 Triệu VNĐ / Tháng
MindX Technology School - CÔNG TY CỔ PHẦN TRƯỜNG HỌC CÔNG NGHỆ MINDX
Hà Nội, Hồ Chí Minh
Thu nhập 600.000đ - 1.500.000
Công ty TNHH Shopee - Shopee Việt Nam
Hồ Chí Minh
Thỏa thuận
Công ty Cổ phần Vulcan Labs
Xem trang công ty- Địa chỉ công ty: Căn số A2.00-01, Tháp A2, Khu Chung Cư Phức Hợp M1 (Sarimi) - Phường An Lợi Đông - Thành phố Thủ Đức - TP Hồ Chí Minh.
- Quy mô: Từ 26 - 100 nhân viên
- Lĩnh vực: IT phần mềm
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