Top Data & Analytics Jobs

The Curriculum Alignment Specialist will oversee alignment projects for ELA standards, manage a team, and collaborate with multiple departments to create alignment documents for various educational content.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

The role involves designing cloud and big-data analytics architectures, enhancing risk assessment frameworks, developing BI dashboards, automating data workflows, and collaborating across teams to improve supply chain analytics and reporting.

The Technical Consultant will manage SFTP-based data integrations between EdSights and partner institutions, ensuring accurate data processing and collaborating across teams to optimize workflows and documentation.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

The Senior Data Engineer will design and manage data integration, warehousing, and analytics solutions, ensuring data quality and guiding junior engineers while collaborating with technical leaders and external stakeholders.

The Senior Yield Manager analyzes performance data to identify monetization opportunities, collaborates with teams to optimize yield strategies, and communicates insights to improve publisher success.

The Senior Strategy Analyst will analyze large-scale Generative AI deployments, deliver strategic insights, influence product roadmaps, and craft narratives to enhance customer experience. The role requires collaboration with Customer Success and Engineering teams to maximize the value derived from data-driven insights.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.