Senior Data Analyst - Elliptic

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and analytical models in Python and SQL to uncover insights from large digital asset datasets.
• Apply machine learning techniques to detect patterns, anomalies, and emerging trends, ensuring reproducibility and robustness of analyses.
• Create compelling visualizations and dashboards using tools such as Tableau or Power BI to communicate findings to product, marketing, and executive stakeholders.
• Collaborate cross‑functionally with product, engineering, and marketing teams to translate analytical insights into strategic decisions and measurable outcomes.
• Document methodologies, maintain version control, and adhere to best practices for data governance and security, often leveraging AWS services.

Requirements

• 5+ years of experience in data analysis or related roles, preferably in fintech or digital asset environments.
• Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data manipulation and model development.
• Strong background in machine learning, statistical modeling, and data visualization.
• Experience with cloud platforms (AWS) and data pipeline orchestration tools.
• Excellent communication skills, able to translate complex technical findings into clear, actionable narratives.