Top Hybrid Data & Analytics Jobs

Support editorial and data teams by reporting, writing, and line-editing content; perform data modeling and analysis in Excel; create visualizations (Tableau or similar); translate data into actionable insights and predictions; promote content via social media; support event content, video interviews, and client-facing reports; attend industry events as needed.

Design and evolve enterprise data architecture and standards, produce technical artifacts, build conceptual/logical/physical models, define integration patterns and data contracts, ensure data quality/lineage/governance, perform profiling, and mentor teams to align data structures with business needs.

Administer and develop Oracle Fusion Data Intelligence for HCM/Payroll: build and optimize ADW semantic models, data pipelines, reports/dashboards, manage FDI users/access, coordinate releases, ensure data quality, integrations, governance, and provide documentation and training to stakeholders.

Lead Analyst partners with advertisers and banks to analyze large purchase and engagement datasets, generate actionable insights, present findings to clients, mentor junior analysts, and develop repeatable analytic approaches and self-service tools using SQL, Python, R, and Tableau to drive customer engagement and advertiser value.

Lead analytics for Patreon's feed ranking and recommendations, conducting experiments, building metrics, and collaborating with various teams to enhance content discovery and engagement.

The Scientific Content Engineer develops and maintains knowledge-management systems, focusing on data wrangling and analysis in scientific contexts, ensuring quality deliverables.

The Analyst will manage cross-functional projects for Strategic Partnerships, ensuring effective execution, supporting business development, building operational infrastructure, and contributing insights to shape company strategy.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

Lead the delivery of commercial data programs to enhance sales performance, collaborating with stakeholders to drive analytics initiatives and ensure data quality.