Growth Data Analyst

Responsibilities

• Design, create, and manage interactive dashboards within Tableau for recurring and ad-hoc reporting needs in various growth functions and leadership teams, facilitating real-time tracking of performance and insights.
• Write and enhance complex SQL queries using Databricks to drive business growth concerning user acquisition, campaign ROI, and customer lifecycle management.
• Collaborate with diverse teams like growth, product, data engineering, and external vendors to enhance data infrastructure, troubleshoot pipeline issues independently, and ensure the efficiency of data pipelines supporting business objectives.
• Streamline and automate recurring data workflows, oversee SQL automation and job scheduling, and maintain comprehensive documentation to enhance team efficiency and data reliability.
• Develop analytical models to guide marketing strategies, including predictive LTV, lead scoring, and marketing mix modeling, providing actionable insights for campaign planning and optimization.
• Employ statistical methods and business intelligence tools to identify trends, patterns, and growth opportunities to support strategic decision-making.
• Cooperate closely with cross-functional stakeholders to implement data-driven solutions, ensuring alignment with business goals and project timelines.
• Stay proactive in professional development by exploring emerging AI tools and methodologies in data science and marketing analytics, continuously improving analytical skills and industry knowledge.

Requirements

• Bachelor's degree in a quantitative field like Computer Science, Statistics, Engineering, Information Systems, or a related discipline.
• Minimum of 2 years of experience in data analysis or a relevant field. Knowledge in the Crypto and Technology sectors is advantageous.
• Proficient in SQL, Databricks, and Tableau for handling, analyzing, and visualizing large datasets.
• Experience with statistical software such as R, Python, and libraries for data management, manipulation, and analysis.
• Strong analytical skills, adept at collecting, organizing, analyzing, and communicating significant information accurately and detail-oriented.
• Skilled in querying, producing reports, and presenting findings.
• Understanding of digital marketing concepts like user acquisition, campaign management, and customer lifecycle management.
• Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
• Effective communication skills to convey complex data insights to non-technical stakeholders and translate business needs into technical and data requirements.
• Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to changing priorities.

Kindly note that artificial intelligence tools may be utilized to evaluate applications for this position. These tools help expedite the screening process but do not substitute human judgment for final hiring decisions.

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