Data Scientist II, Product Data & Analytics
Core
Build internal analytics partnerships to strengthen business health, portfolio performance, revenue optimization, and go-to-market strategies through scalable data solutions.
Role type
Mid-level IC data scientist (product data & analytics)
Builds
Scalable, end-to-end data solutions and advanced reporting capabilities
Domain
Financial services / Payments / Big Data Analytics
Deliverable
dashboards & analysis
Required skills
Advanced SQL, ETL development, Data modeling, Data visualization, Data validation & cleansing, Workflow orchestration
Preferred skills
Stored procedures, Cloud platforms, Python/Scala/Spark, AI/ML exposure, Financial institutions experience
Technologies
Tableau, Power BI, Excel, Databricks, Cloudera Hadoop, Snowflake, SQL Server, Apache Airflow, NiFi, Alteryx, SSIS
Responsibilities
Partner with global teams to design and maintain advanced reporting and data visualization capabilities; Translate business requirements into solution specifications; Create repeatable processes for ETL, data modeling, and reporting; Apply data validation and cleansing processes to new and existing data sources; Present data findings to stakeholders.
Seniority
Mid-level, hands-on IC
