We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.
Responsibilties
* Data Analysis and Visualization
* 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 SQL queries to analyze large-scale datasets, supporting initiatives like user acquisition optimization, campaign performance evaluation, and customer lifecycle management to drive business growth.
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* Data Operations and Engineering
* Partner with cross-functional teamsincluding growth, product, data engineering, and external vendorsto improve data infrastructure, 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.
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* Advanced Data Analysis and Modeling
* Develop advanced analytical models to inform marketing strategies, including predictive analytics and 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.
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* Project Management and Problem Solving
* 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 tools and methodologies in data science and analytics, continuously enhancing analytical capabilities and industry knowledge.
Requirements
* Bachelors 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.
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