Top Data & Analytics Jobs in Washington DC,
The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.
The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
As a Principal Data Analyst, you will support key analytics projects across various teams, explore data for insights, create dashboards and visualizations, and partner with leaders to drive performance and strategy using data-driven insights.
As a Principal Data Architect, you will lead the design and implementation of scalable and robust data architecture for a cloud-native platform, focusing on real-time data processing, collaboration with engineering teams, and migrating existing systems to new solutions.
The SEO Analyst will develop and implement initiatives to boost site traffic through SEO strategies, optimize content and code, and manage projects effectively. They will collaborate with team members and clients, analyze performance, and ensure high-quality content production while maintaining strong customer relationships.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.
The Sr. Administrator for Design Data Manager will lead the transition from legacy PDM/PLM systems to a new DDM system, ensuring a seamless integration. Responsibilities include project management, data migration, stakeholder collaboration, training development, documentation maintenance, and process improvement.
The Product Analyst will analyze large-scale data to improve business performance, focusing on user engagement and conversion rates. Responsibilities include testing strategy implementation, defining KPIs, and creating visual dashboards. The analyst will collaborate with marketing and product teams to ensure data integrity and capture requirements.
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