Top Senior Level Data & Analytics Jobs

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.

As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.

The Principal Researcher will lead research initiatives focusing on the effectiveness of family caregiving programs, overseeing study design and execution, analyzing health outcomes, and shaping research agendas. This role involves collaboration with teams to influence healthcare policy and improve health outcomes for aging populations.

The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.

The GCP Data Engineer will design, build, and maintain large-scale data infrastructure, optimizing data processing, ensuring data quality, and collaborating with cross-functional teams to implement scalable solutions for analytics and business intelligence.

As a Senior Data Scientist at Discord, you'll partner with teams to analyze and improve user experience through data analytics, A/B testing, and building dashboards. You'll define key metrics, communicate findings to diverse audiences, and collaborate with technical teams to design effective data solutions.