Data Analytics Manager

JOB DESCRIPTION

Working with the Data Analytics and Risk analytics teams leads to ensure that data analysis and testing requests are delivered with high quality and on time.
Ensure that research on location spoofing remains up to date on current practices
Help teams to research geo-blocking bypass methods to reproduce location spoofing and find similar attempts in the production data
Review reports, both internal and client reports, and appropriate SQL/Python scripts
Organize data in an easily understandable format using graphs and pivot tables
Collaborate with the Reporting team and Data Analytics Team in Ukraine
Working with the Senior Manager to ensure that the Data Analytics and Risk analytics have all the support that they need. 
Working to create synergies across the company and encouraging communication to other departments; facilitating multi-function brainstorming sessions to assist with problem solving and collecting external suggestions.
Establishing processes for the Data Analytics and Risk analytics to make the teams’ output aligned with the business requirements.
Managing the Data Analytics and Risk analytics teams activities and performance, providing guidance to the team leads, and all team members; recruit, mentor, motivate, train, and coach employees ensuring their individual success; manage leaves and hours of work.
Developing and maintaining a thorough understanding of the company’s products, processes, and technologies.
Understanding the company’s vision, goals, and strategy, and actively contributing to the achievement of the goals and execution of the company’s strategy. 
Ensuring documentation is always up to date and comprehensible to all stakeholders.

JOB REQUIREMENT

4 years’ experience as a Data Analytics manager or equivalent position.
Excellent leadership skills with an ability to motivate team members and others involved in projects.
Proven experience in planning and managing data analytics and risk analytics teams
Strong analytical skills with the ability to prepare and analyze large datasets with attention to detail and accuracy
Knowledge of statistics and experience using statistical packages for analyzing datasets is a plus
Strong organizational skills.
Solutions-oriented with ability to work under pressure.
Strong communication and ability to adapt to communicating with different stakeholders across different time zones.
Fluent English communication skills, especially verbal and written
Experience preparing reports and presentations, and data analysis.
Bonus Points if You
Experience with Kibana/ ElasticSearch is a plus.
Experience with Jupyter, MySQL is a plus.

WHAT'S ON OFFER

We have a track record of success and a vision and a plan for a promising future. Our company has closed to 100% market share for player location regulatory compliance in the US gaming space. And we have fuelled that momentum with the expansion into new markets - media & entertainment and fintech.
We are proud of our values and we live them in all of our actions, conversations, and work: There’s always a way; Together we can do more; Aim higher. Then higher; Act with integrity; For the greater good.
We are proud to be part of a global team that develops award-winning solutions for some of the world’s largest and most innovative companies.
We will support you on your learning journey. We invest in employee career growth and development. Our learning & development commitment includes leadership and technical development, a substantial budget for education and training, as well as dedicated work hours for self-study.
We care about our team. Our team is talented, has a bias for action, and is known for their positive attitude and energy. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits package.
We care about giving back to the communities in which we live and work. We supports a  broad range of community initiatives through donations and employee volunteer activities.
We know that work can be fun. We take the time to create employee events and experiences where everyone can connect and celebrate.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 6,000 - $ 7,700

Job ID:

J01077

Status:

Close

Related Job:

Senior Data Scientist

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Science

We're seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you'll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You'll engage hands-on with emerging technologies, pushing the boundaries of what's possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution. Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making. AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement. Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment. Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery

Negotiation

View details

Quality Assurance Manager

Ho Chi Minh - Viet Nam


Outsource

  • Automation Test

Lead the planning and implementation of QA automation roadmap across product portfolios. Choose and deploy scalable test frameworks for web, API, and microservices (such as Cypress, Selenium, Gherkin). Integrate automated testing into CI/CD pipelines (using GitHub Actions, ArgoCD on GCP/Kubernetes). Develop strategies for test data management and ensure environment readiness for consistent automated runs. Promote Shift-Left Testing by incorporating quality practices from design to production. Coach development teams to write and maintain various tests like Functional, Regression, Smoke, UAT, E2E, Performance, and Security. Collaborate with developers to enable parallel test execution, quick feedback loops, and high release confidence. Establish and monitor quality KPIs such as test coverage, pass rate, defect leakage, and release stability trends. Create dashboards using tools like Xray or custom visualizations to provide visibility into product quality for both QA and engineering teams. Conduct detailed bug analysis to help developers understand root causes, recurring patterns, and upstream quality gaps. Implement improvement plans based on defect trends, through better test coverage, improved requirement clarification, or development best practices. Lead and develop a QA Automation team across the engineering organization. Organize pair testing sessions, QA guilds, and skill-sharing activities with developers and testers. Provide career development, feedback, and guidance to QA team members. Collaborate closely with Engineering, Product, and Leadership on quality goals. Expand automation and quality practices across teams and products. Drive initiatives that enhance release confidence, cycle time, and regression resilience.

Negotiation

View details

Senior DevOps (Data Platform)

Ho Chi Minh - Viet Nam


Digital Bank, Product

  • Devops
  • Spark

Managing workloads on EC2 clusters using DataBricks/EMR for efficient data processing Collaborating with stakeholders to implement a Data Mesh architecture for multiple closely related enterprise entities Utilizing Infrastructure as Code (IaC) tools for defining and managing data platform user access Implementing role-based access control (RBAC) mechanisms to enforce least privilege principles Collaborating with cross-functional teams to design, implement, and optimize data pipelines and workflows Utilizing distributed engines such as Spark for efficient data processing and analysis Establishing operational best practices for data warehousing tools Managing storage technologies to meet business requirements Troubleshooting and resolving platform-related issues Staying updated on emerging technologies and industry trends Documenting processes, configurations, and changes for comprehensive system documentation.

Negotiation

View details