Top Data & Analytics Jobs in Washington DC,
The Financial Data Scientist will analyze customer churn and deactivations, leveraging data to identify trends and develop forecasting models. Responsibilities include collaborating on retention strategies, conducting root cause analysis, and providing strategic recommendations to enhance customer retention. Proficiency in Python, SQL, and Alteryx is required for data analysis and reporting.
As a Senior Data Analyst, you will analyze digital performance data, improving customer engagement and conversion rates. Your role includes monitoring KPIs, creating dashboards, providing insights based on marketing metrics, and collaborating across teams to support data-driven decision-making.
The Senior Support Analyst leads quality activities, resolves complex software and technical issues, and enhances user experience for WellSky's applications. Responsibilities include supporting client satisfaction, documenting issues, collaborating with teams, and ensuring timely resolutions and quality controls.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Manager of People Strategy and Analytics, you will collaborate with senior leadership to implement HR strategies, drive operational efficiency, and leverage data-driven insights to foster an engaging workplace. You'll establish metrics to measure performance, streamline processes, and lead change initiatives across the People Team, ensuring alignment with Attentive's goals.
The Analyst, Government Affairs will coordinate Gov/Regulatory Affairs work, track and resolve regulatory complaints, support the regulatory team by leveraging Oscar systems, and ensure compliance with laws and regulations.
The Information Analyst will develop, analyze, and report on various departmental and product performance data. Responsibilities include creating systems and reports, maintaining databases, designing performance metrics, and providing technical assistance to customers. The role emphasizes collaboration, accountability, and proactive engagement with customer needs.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
As a Pricing Analyst at Abbott, you will be responsible for implementing and maintaining end-customer pricing, supporting sales inquiries, conducting training, and analyzing pricing data. You will collaborate with internal departments and contribute to pricing strategy development.
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The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.
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