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← Golden Gate

Senior Data Analyst (CRM & Loyalty)

Golden Gate · Hà Nội - Q. Thanh Xuân, Hà Nội
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
IT - Software
Department
Untitled
Salary
Thương lượng
Location
Hà Nội - Q. Thanh Xuân, Hà Nội

Overview

  • Growth, Loyalty & Customer Analytics
  • Analyze customer, transaction, membership, campaign, and digital interaction data to support Growth Marketing activities.
  • Monitor key customer metrics, including acquisition, activation, engagement, retention, purchase frequency, spending, churn, and customer lifecycle.
  • Evaluate Loyalty performance across membership tiers, customer segments, point earning and redemption, voucher usage, and promotional participation.
  • Analyze Trade Marketing activities and digital customer journeys by relevant dimensions such as customer segment, campaign, channel, store, product, and time period.
  • Conduct segmentation, cohort, funnel, trend, and behavioral analysis based on business requirements.
  • Reporting & Performance Analysis
  • Prepare recurring and ad-hoc reports for Loyalty, Trade Marketing, digital journeys, and other Growth Marketing initiatives.
  • Develop and maintain dashboards based on KPI frameworks and reporting requirements provided by the Growth Marketing Supervisor.
  • Track campaign performance against agreed targets, historical results, or reference groups, and summarize key outcomes after implementation.
  • Highlight material changes, unusual movements, funnel drop-offs, risks, and areas that may require further analysis.
  • Support the improvement and automation of recurring reports to reduce manual work and improve reporting efficiency.
  • Business Insights & Recommendations
  • Interpret analytical results and translate them into clear and relevant business insights.
  • Help identify customer behaviors, performance drivers, business risks, and potential growth opportunities.
  • Explain what changed, identify possible contributing factors, and suggest areas for further monitoring or analysis.
  • Present findings in a concise, business-friendly format for both technical and non-technical stakeholders.
  • Raise questions or propose alternative interpretations when business assumptions are not sufficiently supported by data.
  • Data Quality, Documentation & Collaboration
  • Validate source data, business rules, calculation logic, and reporting outputs before sharing results.
  • Investigate data discrepancies and coordinate with BI, Data, Technology, or system owners when support is required.
  • Maintain clear documentation of KPI definitions, calculation methods, data sources, and reporting logic within the Growth Marketing scope.
  • Work closely with Growth Marketing, CRM, Loyalty, Operations, Finance, BI, Data, and other relevant teams.
  • Follow company policies regarding customer data privacy, data security, access control, and responsible data usage.

Requirements

  • 4+ years of experience in Data Analytics, Business Intelligence, Business Insights, CRM Analytics, Marketing Analytics, or a similar role.
  • Experience using data to support business decisions, customer analysis, campaign evaluation, or performance reporting.
  • Hands-on experience developing dashboards and preparing recurring or ad-hoc reports for business teams.
  • Experience working with customer, transaction, CRM, Loyalty, campaign, or digital journey data is preferred.
  • Experience in F&B, retail, e-commerce, consumer services, or other transaction-driven businesses is an advantage.
  • Technical & Analytical Skills
  • Required
  • Strong SQL skills for data extraction, validation, reconciliation, and analysis.
  • Good proficiency in at least one visualization tool, such as Power BI, Tableau, or Superset.
  • Strong Excel or Google Sheets skills for data analysis and business reporting.
  • Familiarity with segmentation, cohort analysis, funnel analysis, trend analysis, and campaign performance analysis.
  • Good analytical thinking, attention to detail, communication, and data presentation skills.
  • Nice to Have
  • Knowledge of statistical analysis, test and control groups, or A/B testing.
  • Proficiency in Python or R for data manipulation or reporting automation.
  • Familiarity with data warehouse concepts or cloud data platforms such as BigQuery, Redshift, or ClickHouse.
  • Understanding of Loyalty programs, CRM, customer lifecycle management, promotional effectiveness, or digital conversion funnels.

Benefits

  • Working location: Hanoi Office at 315 Truong Chinh, Thanh Xuan, Hanoi
BonusLaptop / equipment

Summary of facts from the official posting. View original ↗

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