Data Analyst

• Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy, identify inconsistencies, and support analytics and reporting.
• Analyze large datasets to assess data quality, compare trends across systems, and surface anomalies or unexpected behaviors.
• Utilize advanced BigQuery features such as authorized views, materialized views, UDFs, partitioned tables, and joins to support scalable, high-performance analysis.
• Use Python (including data frames and relevant libraries) for exploratory analysis, data manipulation, and supporting validation workflows.
• Support time series analysis and, where applicable, anomaly detection using SQL or Python-based approaches.
• Assist with load/transform validation.
• Collaborate with engineering teams to understand data pipelines.
• Perform side-by-side comparisons of data across systems to ensure consistency during and after migrations.
• Use Airflow (Composer) to follow pipeline logic and collaborate effectively with engineering.
• Work within the GCP environment, leveraging cloud tools and services to support analysis, troubleshoot issues, and navigate cloud-based workflows.

Senior Data Analyst

Mid-Level Systems and Data Analyst

Systems and Data Analyst

Global Supply Chain Optimization and Analytics Manager

Data Analyst II

Senior Manager, Data Analytics – Rare Disease