Top Hybrid Analytics Jobs

The GTM Operations Analyst will analyze data to drive insights for sales enablement and product marketing. Responsibilities include optimizing sales processes, measuring product lifecycle, and building dashboards for performance tracking. Collaboration across teams is crucial for aligning strategies and ensuring continuous improvement.

As an Analyst I, Fantasy Sports, you will support operations strategy with data analysis and reporting, improve customer engagement in fantasy products, build reports and dashboards, and collaborate with stakeholders to enhance business performance.

As a Lead Analyst, you will employ advanced modeling techniques to enhance marketing acquisition processes and drive strategic decisions. Your role involves developing models for forecasting, creating dashboards for performance metrics, and collaborating with cross-functional teams to provide actionable insights for efficient resource allocation and marketing effectiveness.

As a Senior Analyst, you will optimize fantasy products by collaborating with cross-functional teams to analyze customer behavior, develop tools, and acquire actionable insights from large datasets. Your role will include creating dashboards in Tableau, mentoring analysts, and ensuring data integrity with Data Engineering teams.

As a Decision Analytics Consultant, you will leverage your quantitative skills and advanced data analytics to address client business questions, develop data-driven solutions, and communicate findings effectively. You'll work collaboratively with clients to understand their needs and analyze relevant data to support their goals.

As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI data products, solve complex problems with a hybrid team of scientists and engineers, and engage with clients to deliver transformative solutions. You will also contribute to recruiting and training talent, and shape firm strategy around AI.

Lead the development of innovative ML-based enterprise products and architect AI-enabled data products. Manage a hybrid team while overseeing complex cross-functional problems and engaging with senior client leaders. Focus on applying advanced algorithms for business solutions and fostering talent within the organization.

The Senior Business Analyst will oversee business operations for the Large Bank and Insurance Unit, ensuring compliance and sound financial practices. Responsibilities include managing projects, developing policies, training staff, and collaborating with leadership on strategic initiatives and operational support.

The FedNow Data Specialist in Fraud Prevention will analyze transactional and behavioral data to prevent fraud, develop and implement fraud detection rules and models, and communicate findings to stakeholders. The role requires collaboration with data scientists and other specialists to enhance fraud prevention strategies using various analytical and modeling tools.

The Data Management Coordinator will oversee North American master data domains, collaborating with business areas to manage data operations and ensure compliance with policies. Responsibilities include providing insights on data usage, resolving master data issues, executing training programs, and contributing to process improvements.

This role involves leading a collaborative team to enhance digital analytics capabilities that optimize sales impact, develop audience targeting and segmentation strategies, and utilize predictive modeling to drive precision marketing. Responsibilities also include building media analytics, evaluating performance of digital investments, and influencing business decision-making through data insights and communication.

The Integrated Analytics Lead at Pfizer will define and oversee the analytics strategy for the Pfizer brand, focusing on creating an optimization plan for marketing initiatives. Responsibilities include leading a cross-functional analytics team, leveraging data for insights, and enhancing patient experiences through data-driven decisions. The role emphasizes collaboration across multiple teams to drive measurable financial results and optimize performance across the integrated marketing landscape.

The Integrated Analytics Lead at Pfizer will define and manage the analytics strategy for the brand, overseeing the performance optimization across marketing initiatives. This role involves data collection, analysis, and implementing insights to improve marketing effectiveness and patient experience through integrated analytics.

The Director, Real World Data Insights leads the establishment of a real world data insights capability within Pfizer. Key responsibilities include driving data analytics for strategic decision-making in pipeline development, collaborating with stakeholders, and overseeing research and data analysis to provide actionable insights for investments.

As a Data Science Co-op, you will support data science efforts in public health and safety by applying current and emerging machine learning techniques. Responsibilities include collaborating with data scientists and engineering teams, building custom algorithms, and participating in product design and ideation.