Top Data & Analytics Jobs

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

Analyze data to support decision-making, create dashboards, manage BI tools, and translate business requirements into technical specifications. Requires experience in analytics, data visualization, and dashboard development.

The Data Engineer will design and build scalable data systems, support AI/ML integration, and collaborate across teams for the development of Canoe's Alts Data Platform.

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

Design, build, and operate scalable ETL/ELT pipelines ingesting data from APIs, queues, databases and files. Implement transformations, data quality, monitoring, and support batch and near-real-time use cases while collaborating with analytics and AI teams.

The Senior Marketing Analyst will enhance analysis within the Go-to-Market team, optimize marketing attribution, analyze customer funnels, and collaborate with various teams on campaigns and revenue growth solutions.

As an Analytics Engineer at Copia, you'll automate GTM operations, build BI infrastructure, advise leadership with data analysis, and design internal AI applications.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.

Partner with manufacturing leadership to collect, process, and analyze large datasets, build dashboards and visualizations (Power BI/Tableau), identify trends/anomalies, ensure data integrity, and manage analytics projects to deliver actionable insights supporting Manufacturing Operations.