Top Hybrid Data & Analytics Jobs

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.

As a Forward Deployed Analyst, you will provide expert guidance to customers by translating business requirements into data-driven solutions, ensuring seamless adoption of AI applications and driving customer success through collaboration and strategic problem-solving.

Lead the BI team to develop production reporting, KPIs, dashboards and revenue assurance. Perform deep-dive analyses, ensure data integrity, partner with stakeholders, present monthly management insights, and implement controls to improve productivity, cost, and gross margin.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Perform accurate data entry, verification, and maintenance in the ERP system; gather requirements, analyze existing data and reports, propose improvements, and support testing and implementation of system updates.

Lead development and evaluation of high‑stakes adaptive law‑school assessments. Perform psychometric and statistical analyses, manage test data and score reporting, ensure validity/fairness and test security, consult on test design, manage projects and vendors, communicate with external stakeholders, support research/publications, and mentor staff.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.