Top Data & Analytics Jobs

The Lead CRO Analyst will develop and execute CRO strategies to enhance conversion rates, analyze website performance, and implement strategies to improve user experience. Responsibilities include conducting A/B tests, monitoring KPIs, and collaborating with product and business teams to integrate CRO initiatives.

The Supply Chain Senior Analyst will oversee supply chain operations for various e-commerce micro-brands, managing inventory levels, procurement, vendor relationships, and fulfillment. Responsibilities include implementing inventory best practices, collaborating with logistics providers, developing supply chain strategies, and ensuring compliance with Amazon guidelines.

As a WEKA Data Platform Administrator, you will manage the WEKA Storage Infrastructure for a Managed Services customer, implementing the WEKA Data Platform, creating file systems, and configuring storage options while troubleshooting issues and collaborating with customers. You will document processes and serve as a trusted adviser for technical mentorship.

The Senior Data Analyst will drive pricing strategy, manage billing operations, and perform data analytics at Shift4. Responsibilities include leading a team, utilizing SQL and Tableau for insights, validating data integrity, and developing centralized data repositories after acquisitions. Communication and collaboration with the finance team and executive leadership are key to support strategic decisions and expand global presence.

As a Market Research Manager, you will support customer insights for the App Store and Developer Relations. Responsibilities include driving research end-to-end, managing vendors, designing questionnaires, analyzing data, and presenting insights. You'll need expertise in analytics and a strong ability to communicate findings clearly.

As a Senior Research Associate I on the Protein Sciences Team, you will support drug target discovery through protein expression, purification, and structural characterization. Key responsibilities include conducting experiments, characterizing proteins using various assays, performing crystallization trials, and sharing findings in meetings to guide project strategy.

The Data Scientist II will develop predictive models using machine learning principles, prepare and clean data, and utilize cloud resources for data processing. Responsibilities include querying databases, applying data analysis, and visualizing results to support business strategies in a collaborative and fast-paced environment.