Top Data & Analytics Jobs

Partner with GTM to translate business goals into technical requirements, design end-to-end automations and AI-agent workflows, prioritize accounts, maintain data integrity and governance, document data models and processes, and liaise across Marketing, Sales, Success, and RevOps to deliver scalable GTM systems and measure tool ROI.

Design, build, and maintain dbt-based analytics-ready data models and curated data marts powering a PBM financial risk engine. Onboard and optimize claims, pricing, contract, and utilization data, implement data quality controls, support forecasting and risk metrics, and enable advanced analytics and ML operationalization for finance and underwriting stakeholders.

As a Data Architect, you will align business goals with technology strategies, enhance data integration, and lead innovative data solutions while mentoring team members.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

The Business Systems Director manages technology solutions for private equity, overseeing projects and vendor relations while ensuring alignment with business goals. This role requires expertise in private markets and excellent communication with stakeholders.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.