Top Senior Analysis Reporting Jobs in Dallas, TX

Leads development, implementation, documentation, and governance of statistical, predictive, and machine learning models for auto finance. Develops solutions for risk assessment, loss forecasting, pricing optimization, and portfolio performance. Advises senior leaders, partners with risk and governance teams, supports validation and regulatory compliance, and communicates analytical recommendations to stakeholders.

Leads enterprise governance for permissible data use across business lines, analytics, and AI initiatives. Designs policies, controls, approval workflows, exception processes, monitoring, evidence management, and audit-ready documentation. Partners with legal, compliance, privacy, technology, information security, model risk, and third-party risk stakeholders. Defines tooling requirements, develops reporting and metrics, enables data domains through playbooks and training, and drives remediation of governance risks.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Leads enterprise data management and data engineering strategy across financial services domains. Directs multiple teams, drives AI adoption with human validation and sensitive-data controls, establishes governance for AI-assisted workflows, and aligns senior stakeholders across business and technology. Oversees complex projects involving system design, testing, resiliency, security, auditability, observability, data quality, lineage, and operational stability. Develops talent and influences delivery across a highly matrixed organization.

Leads compliance risk data analytics and testing strategy, plans and executes analytical projects, evaluates analytical tools, prototypes emerging practices, and translates technical findings for legal, compliance, risk, and executive stakeholders. The role also includes cross-functional partnership, written and verbal communication, and coaching and mentoring junior staff.

Own the roadmap and backlog for insurance pricing tools, gather requirements, coordinate delivery, and develop scripts and processes across rating programs. Analyze premium mismatches, maintain SAS pricing tools, conduct pricing analyses and quality checks using Python, SAS, Excel, and related technologies. Collaborate with cross-functional teams, resolve defects, present findings, train colleagues, and support successful pricing model rollouts.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Analyzes workforce data, forecasts staffing needs, develops and maintains workforce models, and provides operational recommendations to improve member satisfaction. The role addresses complex workforce management issues, supports planning and capacity meetings, evaluates processes and defects, and communicates findings to stakeholders. It requires experience with workforce management software, forecasting, project leadership, systems administration or reporting, and call center technologies.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

Lead a product management team for enterprise data platform and data governance. Define strategy, roadmaps, and deliverables; manage program/project lifecycles; partner with stakeholders to build cloud and AI-enabled governance capabilities; apply agile methods; ensure regulatory and audit responses; develop and mentor staff.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and platforms to support real-time and batch processing. Collaborate with architects and stakeholders to translate requirements, implement AWS-based ingestion/streaming solutions, enforce data quality/testing, and operate observability and CI/CD practices to ensure reliable production data systems for autonomy initiatives.