Financial Data Analyst

• Design, build, and maintain ETL pipelines using AWS Glue, Python, and SQL to support data preparation, transformation, and analytics.
• Collaborate with Finance and Accounting teams to understand business requirements, financial processes, and reporting needs.
• Integrate and manage data from ERP systems (e.g., Net Suite) and other financial applications.
• Develop scalable data models, data mappings, and automation frameworks for financial datasets.
• Optimize existing pipelines and SQL scripts for performance, reliability, and cost efficiency.
• Work with cloud platforms (AWS preferred) to implement secure, scalable, and high-quality data architectures.
• Ensure data quality, validation, and reconciliation across financial systems and reporting platforms.
• Troubleshoot and resolve issues related to data workflows, ETL jobs, and system integrations.
• Document data processes, workflows, and engineering standards.

Required Skills & Qualifications

• Strong experience with SQL (complex queries, performance tuning, stored procedures).
• Hands-on expertise in Python for scripting, automation, and data engineering tasks.
• Experience designing and developing ETL pipelines
  , preferably using AWS Glue
  , PySpark, or SQL-based tools.
• Knowledge of Finance and Accounting processes
  , financial datasets, and reporting structures.
• Experience working with ERP platforms such as Net Suite
  , including data extraction and integration.
• Proficiency with cloud technologies (AWS preferred; Azure/GCP acceptable).
• Strong understanding of data modeling, data warehousing concepts, and metadata management.
• Excellent analytical, problem-solving, and communication skills.

• Mid-Senior level

• Contract

• Staffing and Recruiting