Data Analyst
# Data Analyst **Gorilla Group** · Hong Kong · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role About the Role We are looking for a passionate, detail-oriented, and business-savvy Data Analyst to turn complex app user behavior data into actionable strategic insights. In this role, you will be the custodian of data accuracy, analyze user funnels, and collaborate closely with Technical and Marketing to drive app retention, user engagement, and strategic business growth. Key Responsibilities App User Behavior & Growth Analytics: Deep dive into app user journey data (remote queuing, dining reservations, appointment bookings, and promo redemptions) to track key metrics (DAU/MAU, conversion rates, retention, churn). Conduct funnel analysis and cohort studies to identify user drop-off points and growth opportunities. Data Accuracy, Governance & Pipeline Quality: Act as the guardian of data accuracy. Collaborate with engineering teams to define and audit analytics tracking specifications (event logging/tagging). Perform routine data validation and data hygiene checks across ETL pipelines, internal databases, and reporting systems to ensure 100% data integrity. Strategic Business & Commercial Support: Translate raw user data into strategic recommendations for senior management to shape future product features, merchant promotion strategies, and user loyalty programs. Design, execute, and analyze A/B testing frameworks to evaluate product enhancements and marketing campaign effectiveness. Dashboarding & Visualization: Build, automate, and maintain intuitive BI dashboards (e.g., Tableau, Power BI, Looker) for cross-functional stakeholders to track real-time business performance. Predictive Modeling & Trend Analysis: Develop statistical models and algorithms to forecast peak-hour queuing demand, reservation patterns, and user Lifetime Value (LTV). Data Privacy & Compliance: Ensure all data handling and analytical operations strictly comply with Hong Kong's Personal Data (Privacy) Ordinance (PDPO) and company governance policies. Requirements Education: Bachelor’s degree or above in Statistics, Data Science, Mathematics, Computer Science, Quantitative Economics, or a related quantitative field. Experience: Minimum 2 years of solid hands-on experience in data analytics, preferably in Mobile App, E-Commerce, O2O platforms, or fast-paced Tech environments. Technical Proficiency: Proficient in SQL for complex database querying, data extraction, and transformation. Strong hands-on coding skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn). Hands-on experience with Web/App analytics platforms (e.g., GA4, Mixpanel, Amplitude, Firebase). Demonstrated expertise in BI tools (Tableau, Power BI, Looker, or similar). Core Competencies & Mindset: Exceptional "sense for numbers" with an obsessive attention to data accuracy, consistency, and analytical detail. Strong business acumen and passion for Hong Kong’s digital app ecosystem and consumer behavior. Excellent structured problem-solving skills and the ability to explain complex data insights to non-technical stakeholders. Desirable (Nice-to-Have): Knowledge of Big Data technologies (Hadoop, Spark, Snowflake, BigQuery) or Machine Learning frameworks. Interested applicants please submit your comprehensive resume, current, expected salary and contact phone number by clicking "Quick Apply". Full-time
Наблюдалась 2026-09-21, впервые 2026-09-20, источник — Indeed.