Head of Data Analytics 


Leadership Role:
Play a first and foremost leader and founder within the department overseeing all activities of the data analytics and data warehousing departments
Lead the recruitment and development of the team
Lead initiatives to improve performance across the business, such as: personalizing user experience on the engagement & loyalty mobile app, optimizing analytics efficiency and cost, and optimizing individual department operation
Work closely with other departments and stakeholders, including CEO, Business, Product, Finance, Marketing, Tech, and senior management, to ensure that data-related goals and initiatives are aligned with the organization's overall strategy
Strategy & Analytics: 
Lead the data analytics and data warehousing departments in strategy development with regard to the collection, manipulation, and analysis of data for various business functions/departments such as marketing, sales, and operations, among others
Endeavor to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner. Lead the team in building Data Governance framework to provide trusted data across functions
In-charge of strategic products including: customer segmentation, personalization engine, antifraud engine etc.
Keeping up with industry trends and best practices, applying new technologies and techniques to enhance the organization's data strategy
Data Management:
Oversee and participate in data management activities, including:
Define, build, and manage the organization's data architecture, including data models, data flows, data integration patterns, data pipelines, data processing, data warehouses, data marts…
Collect and centralize data from various sources, including internal systems, external partners, and third-party providers.
Ensure data privacy and security with appropriate policies and security measures.
Ensure data quality and accuracy with appropriate data quality checks and controls are in place.
Manage data throughout its lifecycle, from creation to retirement, to optimize its value and minimize risks.
Extend existing ML libraries and frameworks;
Lead the design and development of machine learning and deep learning systems;
Enhance implementing appropriate ML algorithms.


Bachelor’s degree or above in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field  
At least 7 years of working experience in a data scientist or business intelligence position, preferably in a fast-paced and complex business setting  
Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth 
Vast experience working with a wide range of data in order to predict financial metrics for a business 
Experience in building and leading quantitative analyses as well as experience building response and risk models for a business
Experience with data warehousing, ETL processes, and data integration
Experience with big data technologies, such as NoSQL, Hadoop, and Spark
Strong leadership skills and experience in leading a team of data professionals;
Strong analytical and problem-solving skills
Technical skills related to data analysis, data modeling, and data architecture
Proficiency in data visualization tools and techniques
Knowledge of data governance, data privacy, and data security regulations and best practices
Excellent communication skills in both written and verbal both in English and Vietnamese, with the ability to communicate complex data insights to non-technical stakeholders.
Familiar with the following is a plus:
Mongo DB
Spark ML (with python)


Opportunity to be part of a pioneer team of a digital start-up with huge growth opportunities and strong backing from two organizations that are market and innovation leaders in their respective industries.
Other benefits:
Opportunities to learn how to grow a startup. Opportunities to take initiative, make an impact, and become a true leader.
A flexible environment with super fun and enthusiastic colleagues.
100% Social Insurance.
13th-month salary and performance bonus.
15 annual leaves.
Private healthcare insurance, and yearly checkups.
Gathering activities in special occasions (Monthly Townhall, Christmas, New Year, Women’s Day, etc.); Company trip and team building activities.
Snacks, tea and coffee are ready to serve. 


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:

Earn and Redeem

Technical Skills:

Data Analyst, Data Science, Business Intelligence


Ho Chi Minh - Viet Nam


$ 8,000 - $ 10,000

Job ID: