Top Senior Level Data & Analytics Jobs in Washington DC,

The Staff Credit Risk Analyst at EarnIn will enhance risk management strategies through data analytics and collaboration with cross-functional teams. Key responsibilities include analyzing risk trends, defining performance metrics, and refining risk models in partnership with the machine learning team, ultimately aiming to mitigate credit risks and support business growth.

The Enterprise Risk Management Analyst identifies and mitigates risks within the organization, develops dashboards and reports for risk analysis, supports the ERM framework, facilitates risk reviews, and communicates risk management strategies to stakeholders. They also create educational materials for the ERM program.

Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support applications and analytics solutions. Tasks include data pipeline development, data architecture, and collaborating with cross-functional teams to align data initiatives with strategic goals.

The Quantitative Analyst will research and develop trading strategies for the energy market, focusing on using data-driven insights to influence product direction and improve trading performance. The role involves backtesting strategies, collaborating with engineers and product managers, and mentoring junior analysts in a fast-paced environment.

As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.

The Educational Data Analyst/Engineer will design, implement, and maintain data dashboards for K-12 school districts, ensuring accurate database management using SQL and automating processes with Python. The role involves collaborating with educational stakeholders to meet their data analysis needs and provide support for data quality issues.

The Data Architect will design and manage the organization's data architecture, ensuring data is accessible and secure. Responsibilities include developing a comprehensive data strategy, integrating data from various sources, maintaining scalable solutions, and enforcing data governance policies. Close collaboration with stakeholders to meet data needs and keep pace with emerging technologies is essential.