Top Data & Analytics Jobs in Washington DC,
The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Customer Success Analytics Analyst will analyze customer data, build reports and dashboards, develop customer health scores, perform segmentation analyses, and evaluate the effectiveness of customer success programs while collaborating with cross-functional teams.
As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.
The Senior People Technology Analyst will be responsible for the implementation and maintenance of Workday and other People Systems. They will manage system configurations, provide end-user support, analyze data, and conduct training sessions while continuously seeking opportunities for process improvement.
The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
The IT Corporate Technology Systems Analyst supports Zuora Billing & Revenue software, focusing on technical support, issue troubleshooting, and end-user assistance. Responsibilities include configuration and maintenance based on business needs, coordinating with project managers and system users, testing systems, and managing urgent issues. The role also involves learning DFIN's billing processes and engaging in Zuora's online community for continuous improvement.
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