Top Data & Analytics Jobs
The Data Science Engineer at Two Six Technologies will tackle complex intelligence challenges by processing and analyzing large datasets, developing methods to extract insights, and designing data storage and retrieval systems. Responsibilities include collaborating with development teams and providing recommendations for system improvements.
As a Senior Database Engineer, you will manage MySQL database systems within an AWS cloud environment. Responsibilities include ensuring database availability, optimizing performance, mentoring peers, automating database processes, and leading architecture design. You will work closely with development teams and support strategic initiatives within the organization.
The Senior Analytics Engineer will implement the analytics roadmap, focusing on data modeling, transformation using DBT, and creating efficient dashboards. Responsibilities include managing data pipelines, writing SQL queries, and optimizing data warehouse storage to enhance data analytics solutions for clients.
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Lead product development projects for the aRTD Category, enhancing existing beverages and developing new ones. Collaborate with cross-functional teams to execute strategies, oversee recipe development, prototype testing, and ensure project goals align with quality, timing, and budget while meeting consumer and regulatory needs.
The Business Development Analyst will analyze market trends and opportunities in Latin America to support trading strategies, develop reports, and assist in strategic decision-making through data-driven analysis and financial modeling.
The Senior Google Cloud Platform (GCP) Engineer will design, implement, and maintain data integrations on GCP, develop data pipelines, automate tasks with Python, collaborate with teams to integrate machine learning models, and create CI/CD pipelines using infrastructure as code.
Looking for a Data Engineer to develop Enterprise Data Warehouse and Analytics environment, lead analytics projects, and communicate with business leaders to translate requirements into successful solutions. Must have 5-7 years of business analytics experience in IT, 3-5 years of data warehouse development experience, and strong knowledge of relational data warehouse modeling.
The Data Scientist III will develop and implement advanced AI/ML algorithms for semiconductor equipment and process development. Responsibilities include collaborating with engineers to understand process needs, creating usable code following best practices, and driving product capabilities through statistical methodologies and machine learning frameworks.
The Manager of Marketing Data Science will utilize predictive modeling and advanced analytics to optimize customer marketing strategies, enhance data-driven decision-making, and support direct-to-consumer products at Dow Jones. Responsibilities include building predictive models, media spend forecasting, and collaborating with cross-functional teams to derive actionable insights that improve marketing effectiveness.
The Data Architect-Cloud will design and implement blueprints for data management systems that integrate, centralize, and protect data sources. Responsibilities include optimizing data technologies and warehousing, guiding resource management practices, ensuring data quality and accuracy, and developing Business Intelligence solutions.
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