Growth Data Analyst

About the role

In this role, you will design and maintain interactive dashboards using Tableau, enabling various teams to access critical data insights. Your work will involve writing SQL queries on Databricks to analyze user acquisition and campaign ROI, contributing directly to the company’s growth strategies.

Collaboration is key, as you will partner with cross-functional teams to enhance data infrastructure and troubleshoot issues. The role requires leveraging statistical techniques and business intelligence tools to uncover trends, ultimately providing actionable insights that inform marketing strategies.

The salary range reflects the company's commitment to compensating skilled data analysts competitively.

Skills that matter here

• SQL: You will write and optimize complex SQL queries to analyze large datasets.
• Tableau: This role involves designing and maintaining dashboards in Tableau for data visualization.
• R: You will utilize R for statistical analysis and developing analytical models.
• Python: Python will be used for data analysis and implementing statistical techniques.
• Digital Marketing: An understanding of digital marketing concepts will help inform your data-driven insights.
• Analytical Skills: Strong analytical skills are essential for uncovering trends and supporting decision-making.

Who this role suits

• Candidates should have a background in data analysis, preferably within the crypto or technology sectors.
• You thrive in collaborative environments and enjoy working with diverse teams to solve complex problems.
• Attention to detail and a strong commitment to accuracy are crucial for success in this role.
• Proactive learners who stay updated on emerging tools and methodologies will excel here.

From the employer

• Design, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership teams.
• 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 to improve data infrastructure and troubleshoot pipeline issues.
• Streamline and automate recurring data workflows and processes.
• Develop analytical models to inform marketing strategies, providing actionable insights for campaign planning.
• Leverage statistical techniques and business intelligence tools to uncover trends and opportunities.
• Collaborate closely with stakeholders to implement data-driven solutions and support project delivery.
• Stay proactive in professional development by exploring emerging AI tools and methodologies.

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, or related fields.
• 2+ years of experience in data analysis or a related field, preferably in the Crypto and Technology industry.
• Proficiency in SQL, Databricks, and Tableau for processing and visualizing large datasets.
• Experience with statistical software (e.g., R, Python) for data analysis.
• Strong analytical skills with attention to detail and accuracy.
• Understanding of digital marketing concepts and customer lifecycle management.
• Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
• Strong communication skills to convey complex data insights effectively.