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Growth Data Scientist/Analyst

Remote, USA Full-time Posted 2025-11-08

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.

    • Data Operations and Engineering

  • Partner with cross-functional teams—including growth, product, data engineering, and external vendors—to 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.

    • 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.

    • 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

  • 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.

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