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Top Senior Level Data & Analytics Jobs in Washington DC,
The Growth Analyst will drive B2C and B2B SEO strategies, implement technical SEO updates, manage analytics, execute local SEO initiatives, and support the development of marketing tools. They will conduct SEO audits, collaborate with teams to educate on SEO best practices, and manage Google Analytics to monitor performance.
As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
As a Senior Data Engineer at Nuna, you'll build products for value-based healthcare, design data pipeline frameworks, manage production environments, and mentor junior engineers. You'll use technologies like Python, Spark, and AWS to ensure high-performance and secure data management.
The Senior Data Analyst will leverage extensive knowledge in structured finance to work with large datasets, analyzing loan-level data using SQL, R, or Python. They will collaborate with engineering teams to develop solutions, interact directly with clients in the financial sector, and provide insights from data to inform decision-making.
The Senior Analyst, Sales Strategy & Compensation will lead the development and implementation of U.S. sales incentive plans, manage the sales planning process, prepare commission statements, provide management decision support, develop presentations for management, and collaborate cross-functionally on ad hoc projects.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Strategic Market Insights Analyst conducts in-depth research and analysis on market trends and competitors, translating findings into clear reports and presentations for C-suite leaders. They collaborate with internal teams to develop strategic collateral, ensuring insights align with business objectives and facilitating informed executive decision making.
The Lead SAP MM Analyst supports SAP MM business applications, configures software, writes documentation, designs systems to fulfill complex business needs, estimates efforts for projects, and provides user training. This role involves problem-solving, project leadership, and maintaining standard methods for the team's work, while also participating in disaster recovery and change management initiatives.
The Senior Tableau Developer will design and implement BI solutions, focusing on intuitive dashboards and reports in Tableau, data integration, ETL processes, and data modeling. This role includes collaboration with Data Engineering, stakeholder engagement, performance optimization, and documentation/training to maximize BI tool usage.
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