Financial Data Analyst

Role- Financial Data Analyst Location- Reston-VA (Remote) No C2C, Only W2 Key Responsibilities • 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., NetSuite) 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 NetSuite, 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.