Growth Data Analyst

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 insightsWrite and optimize complex SQL queries on Databricks to drive business growth in user acquisition, campaign ROI, and customer lifecycle managementPartner 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 goalsStreamline and automate recurring data workflows and processes, manage SQL automation and job scheduling, and maintain thorough documentation to enhance team productivity and data reliabilityDevelop analytical models to inform marketing strategies, including predictive LTV, lead scoring or marketing mix modeling, providing actionable insights for campaign planning and optimizationLeverage statistical techniques and business intelligence tools to uncover trends, patterns, and opportunities that inform strategic growth decisionsCollaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery, ensuring alignment with business objectives and timelinesStay proactive in professional development by exploring emerging AI tools and methodologies in data science and marketing analytics, continuously enhancing analytical capabilities and industry knowledgeRequirements Bachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plusProficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasetsExperience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing dataStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAdept at querying, report writing, and presenting findingsUnderstanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle managementFamiliarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTowerStrong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirementsAbility to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting prioritiesWe 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.