Top Hybrid Data & Analytics Jobs
The Associate Principal of Data Analytics Engineering will expand OCC's analytics capabilities by making internal data accessible for analysis. Responsibilities include designing analytics data warehouse solutions, automating data processes, integrating multiple data sources, building data models, and promoting data literacy among business users.
The Associate Principal, Data Analytics Engineering will lead efforts to enhance OCC's analytics capabilities by managing internal corporate data and its accessibility for analysts. Responsibilities include designing and building an analytics data warehouse, automating data processes, integrating data from various sources, ensuring data quality, and creating data visualizations. The role requires collaboration with business and technical teams to enable data-driven decision-making and promote data literacy. The ideal candidate should have strong communication skills and a commitment to continuous learning in data analytics best practices.
Lead the data engineering team at The Walt Disney Company, developing and maintaining data architecture. Oversee scalable data models and warehouses, streamline workflows, and implement data transformation pipelines. Collaborate across the organization for data-driven decision-making while leading a high-performing team.
As a Lead Database Engineer, you'll join the Data Stores team to build and maintain resilient relational database systems. Responsibilities include designing automation for database infrastructure, ensuring 24/7 availability, and enhancing performance while adhering to engineering standards.
The Senior Database Engineer will build, deploy, and maintain highly available relational database systems across cloud and on-premise environments. Responsibilities include leveraging software development for database infrastructure, performing performance tuning, and ensuring 24/7 availability of services.
The Quality Assurance Analyst will support Cash App's Financial Crimes Compliance program by monitoring the efficacy of suspicious activity reporting and transaction monitoring. Responsibilities include analyzing data for trends, collaborating on training improvements, providing insights to senior leaders, and staying updated on regulatory developments.
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The Quality Assurance Analyst at Carrot Fertility focuses on enhancing customer service quality and operational efficiency. Responsibilities include developing strategies for quality assurance, conducting audits, analyzing performance metrics, and collaborating with teams to improve processes and reduce errors in customer interactions. The role aims to ensure services meet quality standards and to drive a culture of continuous improvement.
As an Observability Analyst at WHOOP, you'll ensure the reliability and performance of data infrastructure. Responsibilities include developing monitoring and alerting solutions, performing root cause analysis, collaborating with teams, and implementing measures to ensure data quality and integrity. You will also stay current with industry trends to enhance data engineering processes.
Lead and elevate the Analytics Engineering team at WHOOP, responsible for owning the Analytics data platform and driving major data initiatives. Collaborate with technical and non-technical teams to ensure data models are accurate and meet business needs. Mentor team members, enhance the data strategy, and manage large-scale data projects.
The Senior Human Factors Researcher at WHOOP will lead human factors testing, collaborating with teams to design and execute studies that ensure the safety of new features and devices. Responsibilities include coaching researchers, managing remote studies, supporting IRB submissions, and consulting across departments to leverage research tools.
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
As a Staff Data Engineer, you will manage GRAIL's data lifecycle, focusing on ETL pipeline development, data integrity, compliance with regulatory standards, and collaboration with cross-functional teams to support clinical and research programs.
As a Data Analyst, you will work cross-functionally to support growth by collecting and analyzing data across sales, marketing, and product channels. You will build dashboards, structure data sources, and drive strategic decisions through analytical research and collaboration with various stakeholders.
The Analyst will support the Technical Operations Assurance team in managing compliance requirements, tracking risks, coordinating with stakeholders, and assisting in the evaluation of operational policies. Responsibilities include compliance automation, project management, research on regulations, training development, and support for SOC 2 attestations.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
The Insights & Reporting Analyst will develop analytics and reporting for MGA, partner with teams to uncover opportunities, deliver data to external partners, and present insights to stakeholders, contributing to enhanced data capabilities and profitable growth.
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