Top Hybrid Senior Level Data & Analytics Jobs

The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.

In this role, you will analyze and interpret data to create engaging narratives for media and clients. Responsibilities include producing data-driven articles, managing social media content, collaborating with data scientists, and generating story ideas that align with the company's business priorities.

The Senior Data Scientist in Operational Efficiency at HUMAN is responsible for building automation and capabilities to detect and disrupt novel bot attacks using machine learning techniques. They will support experiments to demonstrate the value of automation solutions and contribute to the team's responsibilities in reviewing work, monitoring anomalies, and improving toolsets.

The Sr. Director of Analytics will lead analytics initiatives to enhance client media and digital investments by implementing frameworks, measuring performance, and providing data-driven insights. This role involves overseeing a team, driving service evolution, and developing client-specific strategies to improve user experience and marketing effectiveness.

The Sr. Business Analyst leads requirements-gathering processes, collaborates with project stakeholders, and ensures delivery of effective solutions. Responsibilities include translating business requirements into functional specs, supporting agile processes, and aligning various teams with client business goals.

As a Senior Data Scientist at Tovala, you will develop demand models, design causal models, and use simulation techniques to support strategic decisions. You'll collaborate with analysts to create actionable solutions, optimize models for efficiency, and contribute to data governance and strategy, while managing multiple simultaneous projects.

The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.

The Senior Acquisition Analyst will manage acquisition processes, oversee product development and testing, prepare contractual documentation, lead source selection evaluations, and manage program budgets. This role is pivotal in ensuring compliance with acquisition strategies and overseeing coordination with contracting officers.

Develop and implement machine learning algorithms and software solutions for wearable sensors to monitor heart disease. Collaborate on data collection with clinical teams and external vendors, while conducting statistical analyses on trial data and ensuring alignment with clinical requirements.