Top Senior Analysis Reporting Jobs in Dallas, TX

Lead Data Engineer/DB2 DBA responsible for maintaining and optimizing mainframe Db2 databases and data pipelines. Tasks include troubleshooting DB2 issues, backup/recovery, DDL deployments, environment refreshes, performance tuning, control reviews, and collaborating with application teams. Uses enterprise-authorized AI to accelerate design and operational tasks while ensuring validation, security, and auditability.

Lead payments network strategy through data-driven analysis of consumer, merchant, network, and industry data. Build and validate datasets, automate workflows with Python and AI, produce insights for senior management, and drive initiatives to improve profitability across fees, interchange, products, and merchant performance.

Design, build, and optimize scalable batch and streaming data pipelines and workflows. Drive data governance, modeling, cataloging, access control, and performance tuning. Mentor engineers, translate business needs into data-lake/warehouse solutions (AWS/Snowflake), use enterprise AI responsibly to accelerate SDLC tasks, and collaborate with analytics and business stakeholders to support regulatory and business objectives.

Design and lead enterprise-scale data architecture across hybrid and on-prem platforms. Define patterns for application, analytics, workflow, and AI workloads, mentor teams, influence senior leadership, and drive modernization, security, scalability, and TCO/ROI decisions.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Lead data stewardship for Personal Lines Product, Pricing, and Underwriting. Define and execute a data roadmap, translate plans into epics, guide modernization to a unified insurance platform, govern data policy and classification, collaborate with stakeholders and Agile squads, and advise on technical solutions (streaming, modeling, warehousing, Guidewire transformations).

Design and build data infrastructure, pipelines, and transformations using Azure Data Factory, Azure Databricks, and Snowflake. Develop data architecture and modeling, maintain data lakes/warehouses, ensure data quality and security, optimize performance, and collaborate with clients to deliver tailored data solutions and governance.

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.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

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.