Data Analyst Jobs in Tempe, AZ

Analyze and aggregate CLO portfolio, performance, and market data; maintain datasets and source spreadsheets; respond to investor RFPs and data requests; prepare customized marketing materials and reports; collaborate with compliance, finance, risk, and portfolio management teams; provide administrative and technical support; and help develop an agentic AI research and portfolio management platform.

Lead end-to-end analytics for Flagship Client and Distribution: partner with stakeholders to frame problems, perform advanced analyses and machine learning, ensure data quality, develop recurring analytics products and executive visualizations, and mentor analysts to drive data-driven decisions.

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.

Lead data governance and management initiatives: define and implement data quality, metadata, and lineage controls; translate governance strategy into measurable plans; partner with stakeholders to remediate issues, track metrics, and deliver outcomes; support modern data platforms and AI readiness; present results to senior leadership.

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.

Lead data management and quality efforts, consult with stakeholders and vendors, design processes and solutions, perform root-cause analysis of complex data errors, implement improvements, integrate technologies, validate deliverables, and present recommendations to senior management to enable AI-ready data and BI solutions.

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.

Perform reconciliation and data quality controls for advisory accounting, identify and resolve accounting/data issues, validate performance returns, support month-end processes, document procedures, and assist with process improvements and root-cause analysis.

Serve as primary Snowflake administrator and data pipeline engineer: manage Snowflake security, performance, multi-account administration; design and maintain ingestion pipelines and curated data layers; enable AI agents and semantic views; activate/test Snowflake previews; document runbooks and train teams.

Manage client data quality and contribution projects for Early Warning products: analyze datasets, develop metrics and reports, coordinate remediation, collaborate with customers and internal teams, and improve data processes and tooling.

Support execution and maintenance of the enterprise risk management program. Lead ERM projects, maintain enterprise risk scorecards, develop annual risk assessment and appetite, design and report KRIs, coordinate RCSAs and GRC updates, produce risk reports and presentations, and record/manage risk data in the GRC system for committee reporting.