Primary Responsibilities:

📍Data Pipelines and Modeling: 📍Design, develop, and maintain robust data pipelines to support the Finance and Product team's data needs. 📍Integrate data from sources including internally-generated product data, human-collected operational data, and publicly available blockchain data into useful models and views. 📍Utilize industry-standard data design patterns (Medallion Architecture) to simplify maintenance and enable adoption across the Internal Analytics team. 📍Build and support business intelligence models (Star Schema) for downstream reporting and analysis. 📍Data Analysis and Reporting: 📍Analyze financial, product, and operational data to provide actionable insights and build understanding. 📍Develop and maintain dashboards and reports using SQL and Python-based data visualization tools. 📍Communicate findings in written and verbal formats, both synchronously and asynchronously, as required. 📍Cross-Functional Collaboration and Data Integrity: 📍Work closely with the Finance and Product teams to define and document their requirements, and deliver solutions that meet their needs. 📍Ensure organization-wide visibility into business intelligence work with clear and consistent communication, employing basic project management skills to ensure timely delivery of commitments. 📍Build a deep understanding of our business systems and data pipelines to investigate anomalous or interesting data, and ensure quality and intelligibility of downstream reporting.

Qualifications:

📍Bachelor’s degree in Analytics, Data Science, Finance, Computer Science, or related technical field, or equivalent practical experience. 📍2+ years of experience in data engineering, data analysis, business intelligence, or a similar role. 📍Proficiency in SQL (experience in any dialect is acceptable, though we use Snowflake SQL). 📍Experience with ELT tools and data pipeline frameworks. 📍Experience with data warehouse/lakehouse architectures for business intelligence. 📍Strong analytical skills with the ability to integrate and interpret complex data sets. 📍Excellent communication skills and the ability to work collaboratively with cross-functional teams.