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Growth Data Analyst

📅 Apr 21
📍 🇭🇰 Hong Kong - Hybrid🎹 Mid-level🧮 Data Analyst💼 Full-Time
SQLDatabricksTableauPython
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📜 Description

  • Design and maintain Tableau dashboards for recurring and ad-hoc reporting across growth functions and leadership teams.
  • Write and optimize SQL queries in Databricks to analyze user acquisition, campaign ROI, and customer lifecycle performance.
  • Partner with growth, product, data engineering, and vendors to improve data infrastructure and troubleshoot pipeline issues.
  • Automate recurring data workflows, manage SQL job scheduling, and document processes.
  • Develop analytical models such as predictive LTV, lead scoring, and marketing mix modeling to inform campaign planning.
  • Use statistical techniques and business intelligence tools to identify trends and support data-driven growth decisions.

🛠️ Requirements

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.
  • 2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus.
  • Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
  • Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at querying, report writing, and presenting findings.
  • Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management.
  • Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
  • Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements.
  • Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities.
Full job description

Responsibilities

  • Design, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership teams, enabling real-time performance tracking and insights.
  • Write and optimize complex SQL queries on Databricks to drive business growth in user acquisition, campaign ROI, and customer lifecycle management.
  • Partner with cross-functional teams—including growth, product, data engineering, and external vendors—to improve data infrastructure, independently troubleshoot pipeline issues, and ensuring accurate, scalable, and efficient data pipelines that support business goals.
  • Streamline and automate recurring data workflows and processes, manage SQL automation and job scheduling, and maintain thorough documentation to enhance team productivity and data reliability.
  • Develop analytical models to inform marketing strategies, including predictive LTV, lead scoring or marketing mix modeling, providing actionable insights for campaign planning and optimization.
  • Leverage statistical techniques and business intelligence tools to uncover trends, patterns, and opportunities that inform strategic growth decisions.
  • Collaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery, ensuring alignment with business objectives and timelines.
  • Stay proactive in professional development by exploring emerging AI tools and methodologies in data science and marketing analytics, continuously enhancing analytical capabilities and industry knowledge.

    • Requirements

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.
  • 2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus.
  • Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
  • Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at querying, report writing, and presenting findings.
  • Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management.
  • Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
  • Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements.
  • Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities.
    • Apply Now

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