Data Analyst (AI)

Location: Nha Trang, Vietnam; hybrid workplace

Company

hirify.global is a marketing consultancy specialising in brands operating in complex markets, combining strategy, technology, data and creativity to deliver brand-and-demand marketing programmes.

What you will do

• Prepare, combine, clean and validate data from digital marketing, media, web analytics, CRM and business sources.
• Use Python, SQL, BigQuery, Excel and analytical tools to identify trends, investigate variances and produce actionable insights.
• Maintain data models, reporting datasets, metric definitions, dashboards and visualisations using Tableau, Looker Studio and Power BI.
• Support forecasting, trend analysis, scenario analysis, statistical analysis and campaign KPI reporting.
• Automate repetitive analytical workflows using scripts, APIs, platform functionality and approved AI-enabled tools, with human review and data confidentiality.
• Collaborate with the Senior Data Analyst and global delivery teams, quality-check outputs and present findings to technical and non-technical audiences.

Requirements

• Intermediate English for understanding written instructions and communicating routine updates.
• Experience in data analysis, marketing analysis, performance analysis or a similar role.
• Working knowledge of Python, SQL and cloud data warehouses, preferably BigQuery.
• Experience with data preparation, modelling, forecasting, statistical analysis, reporting or dashboard development.
• Strong Excel skills, including pivot tables, lookups, SUMIFS, COUNTIFS and basic statistical functions.
• Hands-on proficiency with AI tools and agentic workflows, including MCP integrations, AI Agents and reusable Agent Skills, with human-reviewed outcomes.

Nice to have

• Experience with R, JavaScript, APIs, workflow automation tools or automated reporting and data pipelines.
• Experience in digital marketing, media, advertising or agency environments.
• Knowledge of paid media, paid search, social, programmatic, ecommerce, attribution or web analytics data.
• Familiarity with data governance, privacy, responsible AI or information security principles.
• Experience presenting insights to stakeholders or supporting client-facing reporting.

Culture & Benefits

• Hybrid working arrangements and paid time off.
• Continuous performance management with regular feedback and coaching.
• Training and professional development programmes.
• Collaboration with a cross-functional, global team.
• Family-friendly policies, parental leave and wellbeing resources.
• Community events, recognition programmes and employee resource groups focused on wellbeing, sustainability and culture.

Hiring process

• Application review followed by a screening call.
• Hiring manager interview and a technical challenge if applicable.
• Meet the team, decision and onboarding.