Data Analyst

Data Analyst

Phoenix, AZ - Hybrid

• Perform advanced data analysis, including trend identification, forecasting, and segmentation.
• Design and maintain logical and physical data models aligned with business requirements and compliance standards.
• Apply strong knowledge of data warehousing principles, including Fact and Dimension tables, Star and Snowflake schema modeling.
• Manage structured and semi‑structured data formats (e.g., JSON).
• Gather and document data requirements for building enterprise data warehouses, data marts, and BI solutions.
• Collaborate with product managers and stakeholders to define KPIs, metrics, and reporting standards.
• Ensure data quality, lineage, and maintain an organizational data glossary across all assets.
• Document requirements for data models, pipelines, and ETL/ELT processes.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 4+ years of experience in data analysis, modeling, supporting complex data ecosystems.
• Hands‑on experience with GCP, Big Query, SQL, and Python.
• Proficiency in SQL, Spark, and ETL/ELT processes.
• Familiarity with JSON and semi‑structured data handling.
• Understanding of retail banking data flows and regulatory requirements.
• Strong problem‑solving skills and ability to communicate insights to technical and non‑technical audiences.

• Experience with additional GCP services (e.g., Cloud Storage, Dataflow).
• Knowledge of data governance frameworks and metadata management.
• Proficiency with data visualization tools (Looker, Tableau, Power BI).