Top Hybrid Data & Analytics Jobs

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain data quality.

The Senior People Analytics Analyst will partner with various teams to develop HR reporting frameworks, maintain data governance, and deliver actionable insights for strategic workforce decisions.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

As an Analytics Engineer II, you will build and scale data models, develop data pipelines, and enhance CI/CD processes for advanced analytics and AI initiatives, while collaborating with stakeholders and mentoring junior team members.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Manager for Data Engineering will lead the Data & AI team, focusing on building modern data platforms, providing mentorship, and overseeing project delivery using Microsoft technologies.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

Lead product analytics, metric governance, and the semantic layer. Build recurring reporting and dashboards, ensure data quality and instrumentation, diagnose performance shifts, support experimentation and segmentation, and translate insights into product and business decisions while scaling an analytics function.

The Sales Planning Analyst Intern supports the Revenue Operations team by analyzing sales data, assisting in planning processes, and improving data accuracy and operational efficiency.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.