Top Hybrid Data & Analytics Jobs

The Analyst will support performance reporting and analysis for client engagements across traditional and digital media, focusing on maximizing marketing investment returns. Responsibilities include collaboration with teams to set measurable goals, implementing monitoring tools, aggregating data from various sources, and presenting findings to internal teams and clients.

The Senior Manager, Analytics will lead a team of data analysts to gather insights on player needs and pain points to enhance game development and marketing strategies. This role involves significant collaboration with marketing and strategy teams to derive insights from data analysis and to create actionable strategies for game franchises.

The Senior Data Analyst, Programmatic is responsible for creating, maintaining, and optimizing programmatic ad campaigns through analytics and automation. This role requires critical thinking skills and project management, along with presenting campaign results and working directly with clients. Mentorship in developing data science models is provided.

The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.

The Business Analyst will focus on enhancing customer experience by analyzing data related to customer interactions, product usage, and satisfaction. Tasks include data collection, identifying trends, studying customer behavior, and providing actionable insights to cross-functional teams to improve product offerings.

The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.

The Coffee Scientist will lead R&D initiatives focusing on coffee extraction processes, collaborating with Engineering and Operations to enhance production efficiency and product quality through experimentation and process improvement. Responsibilities include data analysis, project management, industry trend engagement, and cross-functional teamwork to streamline processes.