Top Senior Level Data & Analytics Jobs
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.
As a Data Scientist at Monte Carlo, you will design and implement production-grade machine learning algorithms, lead ML projects, and solve complex challenges related to anomaly detection and prediction. This role requires collaboration with a team of data scientists and engineers in a fast-paced startup environment, focusing on enhancing data reliability.
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As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.
The Senior HR Analyst will drive HR-related activities for the AFH and KHI organization, leading projects on career development, talent management, and employee engagement. Responsibilities include managing talent processes, analyzing HR data for strategies, resolving employee relations issues, and ensuring compliance with HR data changes in Workday.
As a Senior Data Engineer at DRW, you will design and build innovative data solutions for financial markets, managing a Unified Data Platform that supports traders and researchers. This role requires expertise in distributed data systems, data pipelines, and quality assurance, as well as leadership skills to mentor junior team members.
The Associate Principal, Data Governance will oversee and support Data Governance processes, collaborate with business and technical teams, and implement solutions related to Metadata Management, Data Quality, and Data Lineage across multiple data sources. Responsibilities include defining data elements for the Business Glossary, ensuring clean data through quality rules, and managing data governance policies.
Lead a team of Data Integration Engineers, providing technical guidance on data integration practices and ensuring smooth integration with Riskified's platform. Oversee data flow validation and build tools to automate data validation, while aligning team activities with business goals. Act as a key advisor for strategic clients and manage multiple projects.
As a Data Engineer at Kustomer, you'll enhance data architecture and streamline ingestion processes to improve data-driven products. You'll analyze datasets, partner with stakeholders for insights, debug data issues, and oversee data pipelines, ensuring data integrity and privacy.
The Senior Data Engineer will design, develop, and maintain data sourcing, ingestion, and transformation solutions for reporting and analytics. Responsibilities include creating data ingestion pipelines in Databricks, maintaining automation pipelines, documenting processes, and mentoring junior developers.
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