Senior BI Analyst

JOB DESCRIPTION

Our Client is seeking a highly skilled and motivated Senior BI Analyst to join our dynamic team. This role requires a seasoned professional with extensive experience in Advanced Analytics and Business Intelligence. The ideal candidate will not only transform complex data into meaningful and actionable insights but also influence strategic decisions and mentor junior analysts. You will play a pivotal role in supporting our product and business teams, providing the necessary data-driven insights to drive decision-making and strategic initiatives.
Key Activities:
BI Dashboard Development: Lead the development and implementation of comprehensive BI dashboards from the ground up, ensuring they meet the needs of various stakeholders.
Analytical Leadership:
Perform ad-hoc analytical tasks to address immediate business needs and queries.
Conduct routine analytics to provide continuous insights into business performance.
Lead and mentor junior analysts, fostering a culture of continuous learning and improvement.
Analytics and Modeling Pipeline: Manage and run the existing analytics and modeling pipeline, generate results, and perform rigorous validation to ensure high-quality outputs.
Strategic Influence: Work closely with senior management to provide strategic insights and recommendations based on data analysis, contributing to the company's overall business strategy.

JOB REQUIREMENT

A minimum of 5+ years of experience as a BI or Growth Analyst, preferably in early-stage high-growth environments.
Demonstrated experience in Business Intelligence, including:
Collaborating effectively with Product Managers (PMs) and Business Development (Biz Dev) teams.
Converting raw data into actionable insights.
Defining and implementing metrics from inception to execution.
Building and optimizing BI data models.
Expertise in Statistical and Quantitative Analytics.
Advanced proficiency in Data Visualization techniques and tools.
Strong programming skills in Python and SQL.
Excellent command of the English language, both written and spoken.
Proven leadership skills with experience mentoring and developing junior analysts.
Nice to have:
Experience with Large Language Models (LLM) and Natural Language Processing (NLP) is highly desirable.
Advanced degree in a related field (e.g., Data Science, Statistics, Computer Science) is a plus.

WHAT'S ON OFFER

Competitive Compensation
Benefits package including comprehensive medical, dental, vision and others
Company Culture based on our Core Values
Professional Development Training with Individual Development Plans to map out your career growth
Opportunity to work in a global environment with diverse teams built with colleagues from around the world
Opportunity to work with technology industry leaders in the financial services industry
Opportunity to work for big name clients in capital markets, banking and other industries

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:

Outsource

Technical Skills:

Business Intelligence, Data Analyst, Python, SQL

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01523

Status:

Close

Related Job:

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

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

Senior AI Engineer

Ho Chi Minh - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations

Negotiation

View details

AI Solution Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

Designing AI Solutions: Development of AI Agents and RAG pipelines to automate intricate workflows in construction project management. Prompt Engineering & Optimization: Create, assess, and refine prompt-chaining strategies using frameworks such as LangChain and LangGraph. System Integration: Oversee the integration of AI capabilities into existing microservices, ensuring scalability and low latency. Cost & Performance Monitoring: Implementation of LLMOps to monitor token usage, model performance, and data security/privacy aspects (especially concerning sensitive data). Innovation: Stay abreast of the latest AI research and technologies, and propose enhancements to existing systems and workflows.

Negotiation

View details