Top Data & Analytics Jobs
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As an Analytics Lead at Lyft, you will manage and improve Rider Engagement processes, collaborate with cross-functional teams, leverage analytics to address business problems, and develop strategic frameworks and metrics for the organization.
The Senior Billing Operations Analyst will manage tuition and revenue payment processes, ensuring accuracy and compliance. Responsibilities include managing billing workflows, analyzing data, resolving customer inquiries, and contributing to process improvements and compliance audits.
The Desktop Support Analyst II will oversee and maintain the operational integrity of computer hardware and software systems. Responsibilities include analyzing user requests, providing technical support, troubleshooting issues, tracking incidents, managing assets, and mentoring junior staff. The role requires excellent communication skills and attention to detail.
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As a Data Engineer, you will be responsible for maintaining, cleaning, and manipulating data in operational and analytics databases. You will design and develop Snowflake data warehouse solutions, implement ETL processes, work with data suppliers, and collaborate with cross-functional teams to deliver data solutions while staying current with industry trends.
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.
As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.
The Data Scientist will design, build, and deploy advanced machine learning models, analyze complex datasets, implement GCP-native solutions, and ensure the quality of ML models through rigorous testing. The role involves collaborating with stakeholders and applying machine learning techniques to drive business outcomes.
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.
As a Senior Analytics Engineer at Airspace, you will collaborate across departments to gather requirements, develop automated solutions with APIs, optimize logistics operations, and create financial models. You will analyze data to provide actionable insights that drive business decisions.
The Data & Analytics Engineer will develop scalable data pipelines, create data visualizations, and implement reporting infrastructure to support business decision-making, utilizing tools such as Snowflake, Tableau, and Python while thriving in a fast-paced environment.
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