Top Senior Level Data & Analytics Jobs in Boston, MA

The Senior Technical SEO Manager at Chewy will strategize, execute, and oversee technical SEO improvements across multiple platforms and countries, ensuring optimal site performance and compliance with SEO standards.

The Director of Investment Management Technology drives technology strategy for Market & Credit Risk, leading teams and overseeing system implementations, data analytics, and stakeholder engagement to ensure alignment with organizational objectives.

Lead Hometap's data architecture and engineering functions, ensuring data is a strategic asset and managing teams for efficient data governance and operations.

The Digital Experience Analyst will drive analytics to enhance online shopping experiences by providing insights from both quantitative data and qualitative research. Responsibilities include cross-functional collaboration, vendor management, and storytelling with data to influence decision-making processes.

The Associate Manager, Data Validation Engineer is responsible for clinical trial data validation, programming validation checks, data cleaning, and ensuring compliance with standards and documentation.

The CSC Data Analyst at Simply Business provides analytical insights to support the Customer Solutions Center's operations, improving performance and decision-making via data reporting and analytics, while leveraging AI and collaboration with stakeholders.

The Lead Analyst, Marketing will leverage data-driven insights to optimize marketing strategies, mentor junior analysts, and present findings to senior leadership.

Lead Securities Quantitative Analytics Specialist role focused on managing data issues, collaborating with teams, and enhancing data strategies for risk computation in capital markets.

Lead the Analytics Engineering team to enhance data modeling and transformation, ensuring accurate data governance and user empowerment through effective data pipelines and models.

The Manager, Data Scientist will drive data-informed business decisions, develop machine learning models, and collaborate cross-functionally to enhance customer value and growth.