Top Data & Analytics Jobs

The Senior Data Engineer will design and create infrastructure for real-time and batch analytics pipelines, facilitate best practices for data management, and collaborate across teams to optimize data solutions. Responsibilities include writing ETL processes, monitoring data pipelines, and enhancing data discovery to improve overall platform quality.

The Senior Scientist will design and execute experiments to optimize a suspension platform for stem cell differentiation, evaluate various differentiation parameters, establish cryopreservation protocols, and incorporate new technologies. This role includes collaboration, maintaining scientific documentation, and ensuring compliance with lab regulations.

The Data Ops Manager will lead a team of IT Support Specialists, focusing on customer satisfaction and team development. Responsibilities include overseeing help desk operations, analyzing support metrics, fostering a learning environment, managing vendor relationships, and implementing security measures to protect customer information. The role also involves conducting performance evaluations and improving customer support processes.

The Product Performance Analyst specializes in driving the strategic direction and enhancement of product offerings through detailed analysis of product performance, customer segmentation, and historical trends. This role demands a sophisticated understanding of actuarial principles and superior analytical skills to identify growth opportunities and implement data-driven product improvements.

The LTE Performance Analyst will evaluate and optimize LTE network performance by analyzing data, identifying improvement areas, and implementing solutions. Responsibilities include monitoring KPIs, conducting root cause analysis, collaborating with engineering teams, and developing performance dashboards.

Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.

The role involves supporting the Sales organization by structuring pricing, issuing quotations using CPQ tools, and ensuring compliance with company guidelines. It also requires maintaining product knowledge, managing pricing approvals, and conducting post-close audits to ensure accuracy in record-keeping.