Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

The Resource Planning and Management Analyst documents business requirements, supports process mapping, collaborates with stakeholders, and analyzes data to provide insights and enhance solutions.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

The Finance Data Governance Consultant ensures governance for Finance data domains, defines standards, resolves conflicts, and partners with experts to enhance data quality and usability.

The Ecommerce Analyst drives analytics and insights for eCommerce growth, focusing on merchandising and marketing channel performance. Key responsibilities include analyzing revenue drivers, building data-driven business cases, and collaborating cross-functionally to enhance decision-making processes.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Director, Data Engineering will lead the enterprise data platform strategy, focusing on architecture, data pipelines, AI enablement, and team collaboration. Responsibilities include overseeing data ingestion, processing, quality standards, and modernizing infrastructure for cloud adoption.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.