Senior Data Analyst

Vietcetera is seeking a Senior Data Analyst to strengthen and expand our audience analytics capabilities across Web, Social, CRM, and Content. Your insights will support data-driven decision-making for Marketing, Events, Product, and Editorial.

You will work closely with cross-functional teams to refine our data frameworks, enhance reporting systems, and uncover meaningful trends behind audience behavior, engagement, and growth. This role offers substantial ownership, with opportunities to shape how data is used across the company.

1. Unified Data Analysis

• Analyze and synthesize data from multiple sources (GA4, CMS, Social, CRM, Event tools) to create a unified view of Vietcetera’s audience.

• Build scalable data pipelines and ensure data integrity and accessibility across teams.
  
  

2. Audience Segmentation & Journey Mapping

• Identify and define high-value audience segments to better understand behaviors, interests, and retention drivers.

• Map user journeys and conversion funnels to highlight growth and engagement opportunities.
  
  

3. Content & Campaign Intelligence

• Measure performance across formats (articles, podcasts, videos, events) and provide actionable insights for content planning and campaign optimization.
  

• Apply AI concepts (vector embeddings, LLM prompts) to extract meaning from unstructured data such as user comments or article sentiment.
  
  

4. Dashboarding & Visual Reporting

• Develop and maintain interactive dashboards and visual reports using BI tools (Looker Studio, PowerBI, Tableau, etc.).

• Define and track key performance metrics (reach, engagement, conversion, retention).
  
  

5. Strategic Translation

• Translate complex data findings into clear, actionable recommendations for non-technical stakeholders.

• Present insights to leadership, marketing, and editorial teams in a way that drives decision-making and creative strategy.
  
  

6. System & Process Development

• Design and document tracking specs, data schemas, and data dictionaries.

• Establish standardized workflows for recurring data reporting and insight generation.

Experience:

• 2–4 years of experience in Data Analytics, ideally within Media, Digital Marketing, E-commerce, or Agency environments.
  
  

Technical & Analytical Skills:

• Metric Design: Proven ability to write tracking specs or event schemas with relevant metadata.
• SQL & BigQuery: Strong hands-on experience in data querying and warehouse management.
• BI Tools: Skilled in building dashboards and automated reports (Looker Studio, Power BI, Tableau).
• Data Manipulation: Comfortable using Excel/Sheets (advanced), Python or R for data cleaning and modeling.
• AI Concepts: Basic understanding of vector embeddings, semantic search, or prompt engineering.
  
  

Core Competencies:

• Analytical and problem-solving mindset with ability to tackle ambiguous questions.
• Strong communication skills to explain the “so what?” behind numbers.
• Curiosity-driven, detail-oriented, and proactive about turning data into impact.
  
  

Nice-to-Haves:

• Experience with media or publishing data models (content taxonomy, engagement metrics).
• Familiarity with CRM systems (Pipedrive, Hubspot) or email platforms (Brevo, Mailchimp).
• Experience automating reports or data workflows using APIs or AI tools (e.g., OpenAI).