Head of Data Analytics 

JOB DESCRIPTION

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.
Recommendation/ML:
Extend existing ML libraries and frameworks;
Lead the design and development of machine learning and deep learning systems;
Enhance implementing appropriate ML algorithms.

JOB REQUIREMENT

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
MS SQL
Elasticsearch
Spark ML (with python)
Tensor

WHAT'S ON OFFER

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. 

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:

Earn and Redeem

Technical Skills:

Data Analyst, Data Science, Business Intelligence

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 8,000 - $ 10,000

Job ID:

J01202

Status:

Close

Related Job:

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Director of Engineering (Lending)

Ho Chi Minh - Viet Nam

Digital Bank, Product

  • Management

Leading and directing the engineering teams that are responsible for the development and maintenance of technology platforms Collaborating with stakeholders to ensure that the chosen technology aligns with the company's goals Defining a clear and forward-looking technology strategy and roadmap Researching, evaluating, and selecting technologies, frameworks, and tools, and championing new ways of working Establishing governance processes and guidelines to support engineering practices, technology adoption, and application lifecycle, ensuring compliance with security, performance, and maintenance standards Facilitating the adoption and effective utilization of the engineering stack across the group, including training, documentation, support, and fostering a culture of continuous learning and improvement within the engineering leads.

Negotiation

View details

Data Engineer - RefData

Ho Chi Minh, Ha Noi - Viet Nam

product, Investment Management

  • Data Engineering

Developing an automated data processing system and overseeing its maintenance Consolidating and integrating various data sources and databases into a unified system Designing interfaces and micro services using Python Enhancing the organization's data through NLP and AI models Preparing and cleaning semi-structured or unstructured data Creating effective algorithms for data processing Testing and incorporating external APIs Assisting the Business Analysts team

Negotiation

View details