Top Analysis Reporting Jobs in Dallas, TX

Support Conferences Sales Operations by producing monthly sales reports, executive analytics and presentations, validating large datasets, building KPIs and dashboards in Power BI/Excel, assisting territory and quota planning, and responding to ad-hoc operational data requests to inform strategic decisions.

Support and analyze data anomalies across Data Warehouse, ODS, replication and ETL environments. Collaborate with Business, DBA and ETL teams to document transformations, assist in production validation, configure data governance/virtualization/MDM solutions, maintain data dictionaries and lineage, and produce complex SQL queries and analysis in an agile team environment.

The Vice President, Venue Technology leads the development and execution of venue technology strategies, overseeing large-scale operations and team management while fostering innovation and collaboration.

Paid internship performing multifamily real estate market research and analysis for Valuation Services. Duties include telephone and web-based primary research, comparable property surveys, demographic and economic analysis, assisting in market studies and appraisals, and occasional administrative tasks. Reports to a Manager or Principal and may require domestic travel for site visits.

Provide reporting and analysis for Operations loan teams using SQL and Business Objects, and visualize results in Power BI and Excel. Elicit and document business requirements, analyze processes and data to recommend optimizations, validate solutions with test cases and end-user testing, troubleshoot system issues, and support projects across the lifecycle while collaborating with stakeholders and leadership.

Lead enterprise data governance by defining operating models, policies, stewardship, MDM, metadata, lineage, quality KPIs, and controls. Partner cross-functionally to enable analytics, AI readiness, ERP/PIM/CRM integrations, run governance councils, drive remediation, and communicate executive reporting to improve data trust and decision confidence.

Build and maintain reports, dashboards, and data tools to support client merchandising programs. Manage core data assets, perform data extraction/cleaning from Salesforce and other sources, run coverage and capacity analyses, support capacity planning, create visualizations, track KPIs, and document processes to ensure accurate, repeatable reporting.

Lead enterprise data architecture and integration across Microsoft Fabric, Azure, Data Lake, and EDW. Define standards, patterns, governance, continuity/DR, and vendor expectations. Guide engineering teams on pipelines, Power BI models, AI/ML integration, security, monitoring, and cost/performance optimization. Ensure solutions meet business needs, compliance, and operational excellence.

Lead a data engineering team building and operating scalable data pipelines and platforms for personalized financial advice. Own delivery, engineering standards, observability, incident response, DataOps practices, and cross-team partnerships with product, analytics, and ML. Hire and develop engineers while enabling data foundations for ML and GenAI use cases.

Design, build, and maintain scalable ETL/ELT pipelines and curated datasets using SQL, Python, and AWS services. Implement data quality, monitoring, CI/CD, and documentation; partner with stakeholders to support reporting, analytics, and self-service data products.

Drive fraud strategy, policy, and analytics for money-movement fraud. Build and manage fraud rules, analyze moderately complex data sets using SQL/Python/SAS and BI tools, create predictive models and visualizations, consult stakeholders, and ensure fraud risk is identified and controlled across payment channels.