Remote Analytics Data Engineer Role

Explore a dynamic Remote Analytics Data Engineer position focused on Treasury and Finance. Utilize your programming and data engineering skills to influence business strategies through data insights. We are looking for candidates with 8-10 years of experience in Python, SQL, and SAS for this remote role. Your challenge will be to gather data, perform statistical analyses, and design effective visualizations using tools like Power BI. Developing ETL pipelines will also be crucial for handling large datasets efficiently. Key Responsibilities: • Collect and prepare data for consistency and accuracy • Conduct statistical analysis to identify key trends • Use SQL and Python for data exploration and analysis • Create visual dashboards for stakeholder engagement • Build and manage ETL processes ensuring effective data transformation Requirements: • 8-10 years in Python, SQL, and SAS • Advanced skills in Power BI for dashboard creation • Experience with SQL Server for analytics efficiency • Knowledge of designing ETL pipelines • Familiarity with AWS tools like Redshift and Glue Bring your analytical expertise to the Treasury and Finance sectors in this impactful role.