Growth Data Analyst

Crypto.com • Full Time • Hong Kong, HK • 11h ago

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

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

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