Data Analyst

This is a fully remote position, open to applicants in Vietnam.

📋 Description

• Convert intricate business challenges into organized analyses.

• Create and present engaging visual narratives utilizing contemporary BI and data visualization tools.

• Communicate findings to both technical and non-technical audiences.

• Construct low-latency data pipelines and streaming analytics solutions.

• Develop automated queries, dashboards, and analytics embedded within SaaS applications.

• Enhance analytical tools and workflows for improved speed, scalability, and reliability.

• Prepare refined datasets for machine learning training and inference.

• Assist with feature stores, model outputs, and data versioning.

• Integrate with machine learning platforms and implement MLOps practices, such as A/B testing and model monitoring.

• Facilitate AI-generated dashboards and conversational analytics experiences.

• Design interactive live dashboards using leading BI platforms.

• Enable self-service analytics across various teams.

• Establish governance frameworks that encompass naming conventions, lineage, classification, and retention.

• Ensure adherence to global regulations and maintain enterprise-grade security protocols.

• Create automated validation, anomaly detection, and monitoring systems.

• Develop trusted single sources of truth for essential business metrics.

• Maintain data dictionaries, catalogs, and metadata repositories.

• Assess emerging data patterns and architectural strategies.

• Collaborate with Product, Engineering, DevOps, and Data teams.

• Design scalable SaaS and multi-tenant analytics solutions to meet global performance, latency, isolation, and availability requirements.

⛳️ Requirements

• Proven experience in technology roles, particularly in data analytics or platform analytics.

• Established background in SaaS or product-oriented organizations.

• Experience with large-scale datasets such as telecommunications, IoT, telemetry, or digital platforms.

• Practical experience in designing scalable, cloud-based data environments; AWS preferred.

• Proficiency in SQL and Python; familiarity with JavaScript/NodeJS is advantageous.

• Experience with dimensional modeling, star schemas, and data marts.

• Strong knowledge of relational and NoSQL databases.

• Proficient in Tableau or similar BI platforms.

• Understanding of modern data ingestion and orchestration tools.

• Knowledge of machine learning pipelines, feature stores, and AI/LLM-based analytics.

• Experience in applying DevOps methodologies to data pipelines.

• Familiarity with GDPR, SOC2, ISO frameworks, and data protection regulations.

• Bachelor's degree in Statistics, Computer Science, Data Science, Information Systems, or a related discipline.

• Proficient in English.

🏝️ Benefits

• Competitive salary.

• Bonus scheme allowing you to share in our success.

• Private medical insurance from the first day of employment.

• Remote working options to accommodate your lifestyle.

• Open holiday policy with no maximum limit.

• Support for volunteer work and causes that are important to you.

• Opportunities for professional growth and career advancement.

• Interaction and exposure with global teams.

• Commitment to diversity, equity, and inclusion.

• A collaborative environment where your input is valued and your wellbeing is prioritized.

• Chance to work on technology that promotes global economic inclusion and positively impacts people's lives.