Top Data & Analytics Jobs in Washington DC,

This role involves owning analytics for Finance and Revenue Operations, delivering financial reporting, analyzing revenue metrics, and translating complex data into actionable insights using SQL and Python.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Sr. Actuarial Analyst develops financial forecasts for healthcare partners, optimizing processes and conducting data analysis to enhance decision-making.

The Manager of Technology Strategy positions involves implementing data connections, managing analytics solutions, and consulting with clients to optimize data delivery for decision-making.

The role involves managing data strategy initiatives, advising C-suite on data usage, leading implementation of data solutions, mentoring teams, and supporting business development.

Data Labelers will perform image quality assessments, ID verification, fraud evaluation, and label machine-learning data with accuracy while working independently and collaboratively to meet deadlines.

Lead the design and implementation of enterprise data platforms using Snowflake, overseeing data architecture, governance, and integration with analytics teams.

Design and develop enterprise-grade data integration solutions, focusing on building scalable data pipelines and ensuring high data quality for various systems.

The Data Architect II designs and manages data architecture, ensuring data governance and quality across platforms. Responsibilities include integrating data systems, enhancing data strategy, and mentoring junior team members.

This role involves managing enterprise data assets, aligning data strategies with business goals, and facilitating collaboration across teams to develop and optimize data capabilities.