Data Scientist II, Product Data & Analytics
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain advanced reporting and data visualization for global product, market, and service data.
Translate business requirements into specifications and deliver high-quality data solutions on time.
Create repeatable ETL processes, perform data validation and cleansing, and present analytics insights to stakeholders using BI tools like Tableau and Power BI.
Minimum Requirements
3 to 5 years of experience in data engineering, analytics, or quantitative analysis.
Advanced SQL skills including writing optimized queries, stored procedures, and views preferred.
Experience with platforms like Databricks, Hadoop, SQL Server, Snowflake; familiarity with Python, Scala, Spark, and cloud technologies.
Bachelor’s or master’s degree in Computer Science, IT, Engineering, Mathematics, Statistics or related field.
Ideal Candidate Profile
Proven ability to design scalable data pipelines and visualization solutions within large global teams.
Comfortable working with complex big data technology stacks and cloud-based platforms in financial or payments contexts.
Experienced translating business requirements into actionable technical data products with strong project management discipline.