Top Data & Analytics Jobs

Leads engineering productivity analytics by building scalable data pipelines, governed data models, validation controls, and executive Power BI dashboards. Integrates engineering, delivery, quality, workforce, and AI adoption data; defines trusted metrics; performs trend, root-cause, benchmarking, and impact analyses; and delivers actionable recommendations to technology leaders. The role also establishes data governance, lineage, anomaly detection, self-service analytics, measurement frameworks, and enablement practices for AI-enabled engineering transformation.

Leads engineering productivity analytics by building scalable data pipelines, governed data models, Power BI dashboards, trusted metrics, and executive insights. Analyzes delivery, quality, developer productivity, and AI adoption data to identify trends, bottlenecks, risks, and improvement opportunities. Establishes data governance, quality controls, lineage, anomaly detection, and measurement frameworks while partnering with engineering leaders to drive AI-enabled transformation and self-service analytics.

Leads complex risk analytics, business analysis, statistical and financial modeling, data aggregation, stress testing, portfolio monitoring, and reporting for consumer credit and deposit strategies. Reviews programming models, manages pilot rollouts, addresses regulatory and production issues, mentors team members, and presents analytical findings to business stakeholders.

The Analytic Senior Manager will lead teams to execute data research projects, manage resources, ensure compliance, develop policies, and foster talent development.

Lead end-to-end analytics solutions for front-line monitoring of conduct, operational, and compliance risks. Design data preparation, feature engineering, anomaly detection, visualizations, and scalable monitoring workflows using Python, SQL, and SAS. Drive SAS-to-Python migration, GCP adoption, AI modernization, documentation, analytics standards, peer review, risk escalation, and mentoring of junior staff.

Leads end-to-end front-line risk monitoring analytics using Python, SQL, SAS, cloud technologies, and AI. Designs anomaly detection, metrics, features, visualizations, and scalable monitoring solutions; drives SAS-to-Python modernization and GCP adoption. Establishes analytics standards, automates workflows, ensures explainability and audit readiness, advises business partners, leads projects, and mentors junior team members.

Supports marketing operational reporting through data management, analytics, business intelligence, and AI-enabled automation. Analyzes complex business and technical challenges, extracts and validates data, develops dashboards and reports, delivers data-driven insights, and identifies engineering improvements. Collaborates with stakeholders and technology teams, leads cross-group projects, mentors junior staff, and supports compliance and risk management requirements.

Leads complex risk analytics initiatives involving business analysis, statistical and financial modeling, data aggregation, stress testing, portfolio analysis, monitoring, and reporting. Reviews programming models, manipulates databases, supports pilot program rollout, and guides product strategy and risk exposure decisions. Collaborates across teams to resolve production, project, regulatory, and compliance issues while leading projects, mentoring colleagues, and delivering analytics initiatives.