Top Data Analyst Jobs in Scottsdale, AZ

Analyzes enterprise fraud data across deposits, digital, payments, authentication, and account lifecycle domains. Evaluates fraud decisioning, alerts, losses, false positives, customer friction, queue performance, and operational efficiency. Develops measurement frameworks, dashboards, performance metrics, and executive insights; conducts root-cause and trend analysis; quantifies benefits, risks, costs, and tradeoffs; and partners with Fraud Strategy, Risk, Operations, Technology, and AI/ML teams to improve fraud controls and prioritize investments.

Leads advanced data analysis projects, integrates and curates diverse datasets, develops automated reporting and dashboards, applies statistical and emerging AI-enabled analytics, and translates complex findings into actionable business recommendations. The role also mentors junior analysts, manages recurring reporting processes, validates analytical approaches, and supports strategic innovation initiatives.

Lead analytics engagements supporting digital products and client experience improvement. Translate business objectives into analytical approaches, manage and validate data assets, deliver insights and recommendations, visualize findings, measure feature and initiative impact, and improve reporting and measurement processes. Partner with product, technology, UX, and business stakeholders while mentoring peers and advancing analytics capabilities.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, build analytical models and dashboards, communicate insights to technical and non-technical stakeholders, and monitor improvement initiatives across the organization.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

Support end-to-end deployment of actuarial pricing in Earnix, perform statistical modeling and data analysis, build dashboards and reports, validate and govern deployments, coordinate releases across environments, monitor production rating behavior, and present findings to stakeholders.

Collects, organizes, and validates telecommunications and technical data from multiple sources, inputs and reconciles records to meet quality standards, analyzes databases for consistency and patterns, performs data extraction and basic automation, generates reports, and mentors junior staff while adhering to security and ISO 9001:2015 procedures.

Lead quantitative analyses of loan originations and portfolio performance to identify credit risks and improvement opportunities. Build multivariate/predictive models, conduct diagnostic and funnel analyses, measure costs/benefits, design monitoring and controls, present recommendations to VP-level stakeholders, and drive hands-on implementation using SQL, Python, Excel, AI tools, and financial modeling.