Head of Data Analytics 

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

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

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:

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