Top Senior Level Data & Analytics Jobs

The role involves performing high-quality legal and corporate research, responding to research requests, synthesizing results, and providing findings in a clear manner. The position requires collaboration with other researchers and excellent customer service skills to support attorneys and staff.

As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

The role requires designing and implementing data solutions using the Azure Data Engineering Stack while leveraging skills in Python, Pyspark, and SQL. The position also involves working with modern data warehousing and agile methodologies, focusing on collaboration both independently and within a team.

The Senior Data Analyst will support the product team by researching new air travel routes, analyzing global data sets, and improving customer air networks. This role involves developing analytics systems, creating data visualizations, responding to customer RFIs, and collaborating with engineering on models for the Electra aircraft.

The Data Solutions GTM Lead will strategize to grow Spaulding Ridge’s Data Solutions business, focusing on sales cycles, client relationships, and market offerings for cloud-based solutions. Responsibilities include leading sales efforts, developing partnerships, ensuring revenue targets are met, and establishing thought leadership within the industry.

As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.