Senior Data Analyst
Core
Architect, develop, and maintain data engineering, advanced reporting, and data visualization solutions to support analytics and reporting needs across products, markets, and services.
Role type
Senior IC data analyst (product data & analytics)
Builds
internal analytic partnerships, large-scale analytical capabilities, dashboards, and performance metrics
Domain
Financial services / Payments / Big Data
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced SQL, Python, PySpark, Hive, R, Tableau, Power BI, QlikView, Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, AWS, Azure, SSIS, SSAS, SSRS
Preferred skills
Semantic modeling, self-service BI, data product development, financial services experience
Technologies
Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, AWS, Azure, Tableau, Power BI, QlikView, Python, PySpark, Hive, R
Responsibilities
Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases and actionable insights; Leverage large-scale databases and analytical tools to manipulate data and synthesize insights; Execute cross-functional projects using advanced modeling and analytical techniques to uncover insights and drive strategic business decisions; Build, develop, and maintain data models, reporting systems, dashboards, and performance metrics that support key business outcomes; Apply data quality controls, validation, and cleansing processes to ensure the accuracy and reliability of data assets; Lead, mentor, and guide junior team members to support their growth and development
Seniority
Senior, hands-on IC with mentorship responsibilities