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 Data Engineer

Ho Chi Minh - Viet Nam


Product

We're seeking a Staff Data Engineer to own and evolve our data infrastructure as we scale globally. You'll design and build the data systems that power our platform - from real-time pipelines and analytics infrastructure to the AI/ML foundations enabling intelligent insurance products.#Data Architecture & Engineering Design and implement scalable, future-proof data architectures aligned with business objectives across multiple regions and regulatory environments Build and maintain data pipelines for ingestion, transformation, and delivery using modern orchestration tools (Airflow, Spark, Kafka) Architect data solutions spanning data warehousing, data lakes, and real-time analytics Create and maintain data models (conceptual, logical, physical) using recognized modeling approaches Develop and document the enterprise data landscape, mapping data stores and flows across our microservices architecture#AI/ML Infrastructure Build and maintain data infrastructure supporting ML model training, deployment, and monitoring (MLOps) Design and implement vector database solutions for AI-powered features (e.g., MongoDB Atlas Vector Search, Pinecone, Weaviate) Develop data pipelines feeding recommendation engines, claims processing automation, fraud detection, and other AI-driven capabilities Ensure AI infrastructure scales globally while meeting data residency and compliance requirements#Data Operations & Quality Implement DataOps practices ensuring data quality, lineage, and governance across the platform Define and enforce data strategy and architectural principles across engineering teams Build monitoring and alerting for pipeline health, data quality, and SLA compliance Optimize query performance and cost efficiency across data systems#Technical Leadership Collaborate with product and engineering teams to translate business requirements into data solutions Act as a change agent, driving adoption of modern data practices across the organization Contribute to architectural reviews and technical decision-making Own data problems through to resolution

Negotiation

View details

Head of Sales

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

Lead and organize the sales organizational structure, including defining roles and responsibilities. Develop and manage Team Leaders and oversee team-level targets and performance. Create and implement regional sales strategies that align with company goals. Manage CRM-based sales pipelines, including lead definition, conversion management, and revenue forecasting. Standardize weekly, monthly, and quarterly sales review cycles. Lead B2B sales efforts for merchants, retail chains, and franchise accounts. Develop expansion strategies for the SME segment and establish strategic partnerships within the payment ecosystem. Implement competitive differentiation points to be executed at the field level. Establish terminal operation policies, pricing frameworks, and revenue model structures. Define lead management standards, KPIs, and incentive schemes to drive motivation. Identify and eliminate inefficient sales channels and restructure underperforming teams. Standardize sales reporting frameworks, including metrics, cadence, and accountability. Monitor market changes and adapt localization strategies for execution. Take full accountability for decision outcomes and execution results. Ensure a sustainable network of merchants and partners through high-level relationship management.

Negotiation

View details

Data Analyst

Ho Chi Minh - Viet Nam


Offshore

  • Data Analyst

Gather, sanitize, and evaluate data from diverse origins to meet business requirements. Construct and maintain fundamental analytical datasets and reports for different teams. Validate and verify data to uphold accuracy, consistency, and dependability. Apply statistical and analytical methods to identify patterns and potential opportunities. Work closely with business stakeholders to grasp needs and provide actionable insights. Carry out thorough analyses of customer behavior, product usage, and market trends. Translate intricate data findings into clear, influential recommendations for business strategies. Support data-informed decision-making across various teams including marketing, operations, finance, and product teams. Create dashboards and Key Performance Indicator (KPI) tracking tools for monitoring business performance. Devise and conduct experiments (e.g., A/B tests) to evaluate initiatives. Deliver insights in a clear and convincing manner to both technical and non-technical audiences. Encourage data literacy by aiding colleagues in understanding and utilizing analytical tools. Share best practices in data analysis, visualization, and reporting. Contribute to documentation and training to elevate organizational analytics proficiency. Allocate time to cross-team projects aimed at enhancing company-wide data capabilities.

Negotiation

View details