Business Intelligence (BI) Analyst / Senior BI Analyst

Skills

About the Role

You'll work closely with Product, Operations, Payment, Finance, Risk, and Data Engineering to transform data into actionable insights and drive data-informed decision-making across the organization. You should be analytical, business-oriented, and thrive in a fast-paced environment, able to quickly understand complex business domains, collaborate effectively with cross-functional teams, and independently deliver high-quality analytical solutions with minimal onboarding.

Requirements

• Bachelor's degree in a quantitative field.
• 3+ years of experience in BI, Data Analytics, or similar roles.
• Advanced SQL skills (joins, window functions, CTEs, optimization).
• Hands-on experience with Tableau, Power BI, or equivalent.
• Experience working closely with Data Engineering teams.
• Strong understanding of data warehouse concepts and metric design.
• Excellent analytical, communication, and stakeholder management skills.
• Ability to quickly learn new business domains with minimal onboarding.
• Self-motivated and comfortable in a fast-paced environment.
• Experience in cryptocurrency, digital assets, fintech, payments, or exchanges preferred.
• Experience with Databricks, Spark SQL, Snowflake, BigQuery, or Redshift preferred.
• Python (Pandas) for analysis and automation preferred.
• Experience designing KPI frameworks and executive dashboards preferred.
• Knowledge of experimentation, data governance, and metadata management preferred.

Responsibilities

• Partner with business stakeholders to understand analytical requirements and translate them into scalable reporting and dashboard solutions.
• Design, develop, and maintain dashboards and self-service reporting using Tableau or other BI tools.
• Write efficient and optimized SQL to extract, transform, and analyze large-scale datasets.
• Work closely with Data Engineering teams on data modeling, ETL pipelines, metric implementation, and data quality improvements.
• Define, maintain, and govern business KPIs and metric definitions to ensure consistency across teams.
• Perform ad hoc analyses to identify business opportunities, operational issues, and performance drivers.
• Monitor key business metrics, investigate anomalies, and provide timely insights and recommendations.
• Support business initiatives through performance analysis, experimentation, and strategic reporting.
• Present analytical findings clearly to both technical and non-technical stakeholders.
• Continuously improve reporting automation, analytical processes, and data governance.