Growth Data Analyst

Crypto.com; Hong Kong; On-site; HKD 520,000 - 760,000; Full time

Job summary

Crypto.com in Hong Kong is seeking a data analytics professional to design Tableau dashboards and optimize SQL workflows on Databricks for various growth teams. You will streamline data pipelines, build analytical models, and present insights to drive marketing and product decisions.

The role requires 2+ years in data analysis, strong SQL/Tableau/Databricks skills, and familiarity with marketing analytics tools. A quantitative degree is required.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering, Information Systems).
• 2+ years of experience in data analysis or related field; Crypto/Tech industry a plus.
• Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
• Experience with statistical software (R, Python) and libraries for data manipulation and analysis.
• Strong analytical skills with attention to detail and accuracy.
• Adept at querying, report writing, and presenting findings.
• Understanding of digital marketing concepts (user acquisition, campaigns, lifecycle).
• Familiarity with AppsFlyer, Google Analytics, Google Tag Manager, SensorTower.

Responsibilities

• Design, develop, and maintain interactive dashboards in Tableau for recurring and ad-hoc reporting across growth teams.
• Write and optimize complex SQL queries on Databricks to support user acquisition, campaign ROI, and lifecycle management.
• Collaborate with cross-functional teams to improve data infrastructure and ensure scalable data pipelines.
• Automate recurring data workflows, manage SQL automation and scheduling, and document processes.
• Develop analytical models (e.g., predictive LTV, lead scoring, marketing mix modeling) for campaign planning.
• Apply statistical techniques and BI tools to uncover trends and growth opportunities.
• Partner with stakeholders to implement data-driven solutions and ensure timely delivery of projects.
• Stay updated on AI tools and methodologies in data science and marketing analytics.

Skills

SQL

Python

R

Analytical thinking

Communication

Marketing concepts

User acquisition

Education

Bachelor's degree in CS/Statistics/Engineering or related field

Tools

Databricks

Tableau

AppsFlyer

Google Tag Manager

Google Analytics

SensorTower

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.