Top Senior Level Data & Analytics Jobs in Washington DC,

The Data Analytics Manager will lead the analytics team, manage projects, and guide strategic decisions by interpreting complex data sets. Responsibilities include building metrics, providing insights for business improvements, cultivating stakeholder relationships, and developing reporting processes using various data tools.

The Data Engineer will architect and maintain data pipelines, develop data applications, and implement a data quality framework. The role requires collaboration with IT and business teams, applying software engineering best practices, and optimizing performance of data solutions using various tools and technologies.

As a Senior Customer Data Analyst at Versapay, you will analyze customer touchpoints, identify improvement opportunities, and provide actionable insights to enhance customer experience and retention. You will collaborate with cross-functional teams, design dashboards, track KPIs, and lead data-driven decision-making to optimize customer support processes.

The Senior Data Engineer will manage the ingestion, validation, transformation, and storage of healthcare data. Responsibilities include designing scalable data pipelines using Databricks and PostgreSQL in AWS, maintaining data quality standards, optimizing performance, and mentoring team members while collaborating across departments to meet data needs.

The Principal Data Scientist will lead data science initiatives focusing on healthcare quality metrics, utilizing advanced analytics and predictive modeling. Responsibilities include managing complex data, developing analytical techniques, mentoring junior staff, and collaborating across departments to provide insights for strategic decision-making.

The Senior Business Analyst will assist with monthly reporting, data organization, and interpretation to identify trends. Responsibilities include supporting the budget process, monitoring financial performance, and converting dashboards into automated Tableau. The role involves providing data-driven insights to stakeholders and improving data collection processes.

As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.