Top Data & Analytics Jobs

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

Lead the analytics data layer: design and operate a ClickHouse-backed warehouse, define and validate trusted metrics, build customer-facing React dashboards and internal Grafana/self-serve tooling, and ensure data quality, lineage, and documentation for telemetry-derived insights.

The SAP OTC Architect will lead the order-to-cash processes across business units, managing solution development and implementation, addressing business requirements, and mentoring team members for successful SAP configurations and optimizations.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Lead core business analytics: build and maintain KPI dashboards, run statistical analyses and A/B tests, identify drivers of retention and revenue, support forecasting, partner with Product/Engineering to improve data quality, and use AI/scripting to automate analytics and surface insights for leadership.

Drive KPI strategy, governance, and performance optimization for sales. Audit MBO scorecards and pipeline quality, consolidate datasets, standardize and automate reporting, deliver revenue insights, and partner with sales leadership to identify risks, gaps, and scalable best practices.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

Implement and manage full lifecycle client data integrations for inbound HRIS and benefits conversion files. Gather requirements, configure files, establish secure transfers, oversee testing, coordinate clients/vendors, track project status, and transition integrations to steady-state while ensuring data accuracy and resolving defects.

Lead design and governance of enterprise data models across Databricks Lakehouse, Snowflake, and MongoDB. Partner with business and engineering teams to translate requirements into high-performance dimensional and relational models, establish medallion architecture and modeling standards, optimize performance, and enable analytics, ML/GenAI, and reporting use cases.

The Senior Business Analyst will gather requirements, perform data analysis, conduct data validation testing, and support data migration projects.