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Top Hybrid Data & Analytics Jobs
As a SQL Database Engineer, you will manage database operations, enhance automation processes, and develop solutions tailored to business needs. You'll work collaboratively with teams on high-profile projects, handle database design and development, and provide operational support. Familiarity with AWS and a focus on continuous improvement and DevOps practices are essential.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
As an Engagement Manager at Definitive Healthcare, you will gather requirements, develop comprehensive SOWs, and ensure client success with analytics services. Your role involves understanding client needs, delivering insights, and collaborating with internal teams for the effective adoption and expansion of services.
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As a Quantitative Analyst, you will develop and maintain models for North American natural gas fundamentals, create production and demand forecasts, and collaborate with trading teams to fine-tune algorithmic trading strategies while ensuring data quality and documentation.
The Digital Experience Analyst will enhance digital member experiences, manage digital channels, and support product enhancements within the organization. They will handle project management tasks, testing, and validation, monitor system performance, and improve digital products based on feedback and analytics.
The Machine Learning Engineer will develop innovative advertising technology at Centerfield. Responsibilities include designing data science programs, building machine learning models, and supporting data-informed decision-making across the organization. This role requires strong technical skills, leadership in project delivery, and expertise in large data sets, particularly in the context of Generative AI.
As a Business Analyst in this role, you'll bridge the gap between business and technical teams for deploying cloud telephony solutions like NICE CXone and Amazon Connect. You will translate technical requirements into functional specs, facilitate communication between product owners, and participate in Agile/Scrum processes, ensuring clear documentation of requirements and designs.
The Human Resources Systems Analyst will enhance HR systems and processes, implement new technologies, and optimize data and analytics. Responsibilities include developing automations, building data pipelines, maintaining HR data integrity, and assisting employees with HR system issues.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
The Senior Analytics Engineer will be responsible for data modeling, transformation, and associated documentation. This includes ensuring data quality, setting standards, and collaborating closely with stakeholders like data engineers and business analysts to align business requirements with data assets.
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