Top Data & Analytics Jobs
The BI Developer collaborates with the Data Reporting Team and customers to identify software objectives and document business processes. Responsibilities include managing requirements, creating documentation for reports and dashboards, and supporting delivery teams in implementing and deploying solutions.
As a Lead Data Engineer, you will establish development standards for the data engineering team, design and build ETL pipelines, ensure data quality, and lead the development of technical solutions while collaborating across teams to streamline data architecture and drive high-quality solutions.
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
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The Data Analyst will work with Product and Engineering teams to design and deliver automated reporting, revenue dashboards, and insights from ad code testing. Responsibilities include analyzing A/B tests, collaborating with various partners, and influencing stakeholders to drive revenue opportunities for a network of creators.
The Principal Cloud Database Engineer designs, implements, and manages cloud-based database solutions, ensuring high performance, data integrity, and security. Responsibilities include database administration, performance tuning, automation, and collaboration with development and infrastructure teams. This role also involves capacity planning, monitoring, and compliance with data protection regulations while leading technical initiatives and supporting operational excellence.
As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The Senior Data Scientist role involves executing data science projects for various operations, including forecasting, labor optimization, and delivery efficiency. Responsibilities include designing and deploying models, analyzing complex processes, and providing data-driven solutions for better decision-making and economic impact.
As a Principal Data Engineer at Walmart, you will lead data analytics for display advertising, building data pipelines and dashboards, and working closely with engineering and data science teams to enhance data quality and deliver predictive models. You'll analyze campaign performance, market efficiency, and share insights with stakeholders to drive business growth.
Drive delivery of project activity, support process updates and changes, analyze complex data elements, develop and test code for data pipelines, build relationships with stakeholders, and ensure data governance practices at Walmart Global Tech.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
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