Senior 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.

Requirements

• Bachelor’s degree in computer science or a related field.
• 5+ years’ experience in data analyst or analytics engineering roles with strong BigQuery, SQL, and Python skills.
• 5+ years’ experience building and operating solutions on Google Cloud Platform (GCP).
• Strong ability to write and optimize SQL queries to validate data, analyze trends, and detect inconsistencies.
• Proficient in Python, including use of data frames and common analytical libraries.
• Experience with advanced BigQuery features such as authorized views, materialized views, UDFs, partitions, and time series analysis.
• Strong analytical skills and experience validating data across systems during migrations and ongoing operations.
• Able to understand Java or Scala code.
• Familiarity with Airflow (Cloud Composer).

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Hard Skills

• SQL
• BigQuery
• Python
• data analysis
• data manipulation
• time series analysis
• anomaly detection
• data validation
• data quality assessment
• data comparison

Soft Skills

• analytical skills
• collaboration
• problem-solving

Certifications & Qualifications

• Bachelor’s degree in computer science