Business Analytics Analyst - Pyspark

Technical / Tools Proficiency SQL : Advanced querying (joins, window functions, CTEs, performance tuning) across large relational/Teradata/Hive data warehouses. Python : Data wrangling (pandas/numpy), automation scripting, statistical analysis, and visualization (matplotlib/seaborn). PySpark : Distributed data processing for large campaign/transaction datasets, working within Hadoop/Spark ecosystems. SAS : Base SAS and SAS Macros for large-scale data manipulation, campaign tagging, and repo… This is a short preview. Tap Apply to read the full job description and apply on the employer's or recruiter's page.