onsite
Senior Data Analyst - Elliptic
Data Analyst
Lead advanced analytics on digital asset data, turning complex patterns into actionable insights using Python, SQL, and machine learning, while delivering clear visual stories for product and marketing teams.
About the role
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.
Skills
pythonsqlmachine learningaws