Data Analyst (Data Visualization & Storytelling)

We’re looking for a detail-oriented Senior Data Analyst with strong analytical and problem-solving skills to support data-driven storytelling through infographics. You will be responsible for collecting and validating data sources, analyzing key figures and trends, identifying meaningful insights, and translating complex data into clear, compelling stories. Working closely with designers and developers, you will prepare clean datasets, analysis notes, and visual references to support the creation of impactful infographics.

Locations: Ho Chi Minh City, Da Nang, Hanoi

What You'll Do

• Collect and consolidate data from multiple sources to support analysis and visualization.
• Validate datasets, identify gaps, inconsistencies, and errors, ensuring data accuracy and reliability.
• Analyze data to identify meaningful insights, trends, comparisons, and key figures that support compelling stories.
• Perform basic statistical calculations, including percentage changes, comparisons, and other descriptive analysis.
• Explore and validate story ideas through simple charts and visualizations before design begins.
• Prepare clean datasets, analysis notes, and clear guidance for designers and developers to translate insights into infographics.
• Collaborate with design and development teams to ensure data is accurately represented and communicated.

Requirements

Must-have

• Bachelor's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, Geography/ GIS, Political Science, or a related field.
• Minimum 4+ years of experience in data analysis, data validation, and interpretation.
• Experience translating data into public-facing charts, dashboards, maps, or visual reports.
• Strong analytical thinking and attention to detail, with the ability to identify meaningful insights and communicate them clearly.
• Proficiency in spreadsheets and data visualization tools.
• Fluent English communication skills (written & verbal).

Nice-to-have

• Master's degree in a relevant field.
• At least 3+ years of experience in data analysis or visualization.
• Experience delivering dashboard, data visualization, or mapping projects.
• Familiarity with GIS or mapping tools and spatial data visualization.
• Experience working with public-sector, development, sustainability, or SDG-related datasets.

Benefits

• Three days remote every week and four full remote weeks per year.
• Gold-level health insurance coverage from Bao Viet Insurance, a yearly complete Health Check and social insurance
• All office benefits and full salary during probation.
• Flexible working time starting anytime up to 10 AM working Monday - Friday with no overtime and a long lunch break.
• Unlimited snacks and nice coffee every day.
• Choose from a brand-new Mac or PC device.
• Salary review twice a year with opportunities for promotions and spot awards.
• 12 days of annual leave per year, with all days not taken paid out in cash, plus 2 sick leave days.
• Yearly Training Budget up to 5 million VND per staff. On top of that, a Professional coaching program, buddy system, tech talks, agile sessions, and 1on1 private English classes are available
• Yearly company trip, monthly activities, and other Celebrations for special days in the year, such as Women’s Day, YEP, and Christmas.
• Employee-led clubs within the company; games teams, sports teams, etc.
• Modern open-space office with comfortable workspace, a PS5 games room, and chill-out areas.

CodeLink is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace where everyone is respected and has equal opportunities to succeed, regardless of race, ethnicity, gender, age, disability, religion, sexual orientation, or background.

CodeLink complies with Law No. 91/2025/QH15 on Personal Data Protection and applicable regulations. By submitting your application, you acknowledge and agree that CodeLink may collect, use, and process your personal data for recruitment and employment-related purposes in accordance with applicable laws.