Top Analysis Reporting Jobs in Dallas, TX

Leads item management operations, including item creation, maintenance, mapping, taxonomy governance, data quality resolution, and reporting. Coordinates internal stakeholders and external partners to standardize product information and identifiers across systems. Oversees project cadence, issue resolution, corrective actions, team workload, coaching, and performance management. Supports data governance, taxonomy standards, and system implementation initiatives.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Develops measurement frameworks, dashboards, reporting products, and analytics tools while partnering with strategy, sales, client services, and AI teams. Builds internal data literacy, coaches talent, supports commercial growth, and represents the company as an external thought leader in partnership marketing measurement.

Oversee enterprise finance platforms and data workflows, including data-flow architecture, integration mapping, master data governance, data quality standards, platform documentation, and automated workflows. Monitor integration health, resolve data anomalies, and partner with finance, IT, and business leaders on platform initiatives. Requires strong SQL, relational database, data modeling, governance, analytical, communication, and project coordination skills.

Own digital analytics, reporting, dashboard development, data extraction, ETL, and AI-enhanced insight generation for luxury e-commerce. Partner with business leaders and online retail teams to translate questions into analysis, identify trends and opportunities, improve KPIs, and create self-service reporting. Present clear recommendations to leadership, maintain data governance, validate AI-generated insights, and support data and AI initiatives.

Support data wrangling, reconciliation, validation, and recurring reporting for crypto-related investigative analytics within Financial Crime Risk. Prepare, clean, and document datasets for investigative workflows, perform data quality checks, collaborate with stakeholders, handle restricted US-only datasets, and assist senior analysts with production reporting and audit-ready process documentation.

Leads enterprise business performance analytics by evaluating organizational, financial, and operational results. Develops dashboards, executive reporting, and strategic analyses; investigates root causes, identifies risks and opportunities, monitors strategic objectives, and translates complex healthcare data into actionable recommendations. Partners cross-functionally with Finance, Actuarial, Operations, Network Management, Healthcare Management, Underwriting, Product, and executive leadership to improve enterprise performance.

Leads pricing analytics and develops data-driven pricing strategies to optimize gross profit, competitiveness, and customer acceptance. Builds reporting and dashboards, advises network and merchandising teams, supports AI-powered pricing solutions, digitizes processes, and drives experimentation and continuous optimization. Collaborates with Data, Sales, Transformation, Purchasing, and Category Management teams to translate business requirements into pricing solutions and communicate recommendations across the branch network.

Analyzes revenue, market share, capacity, client activity, and market trends to develop pricing strategies across geographies and market segments. Maintains historical pricing databases, evaluates pricing effectiveness, coordinates pricing reports and communications, and ensures data supports product and sales strategies. The role also requires compliance with the company’s Quality Management System.

Lead analytics strategy and execution for the 7‑Eleven mobile app. Partner with Product, Engineering, Marketing, and Operations to define metrics, build dashboards, run experiments and models, quantify impact, ensure data integrity and instrumentation, and translate analysis into recommendations for senior leaders.

Leads consulting engagements that transform complex business problems into scalable data, analytics, and AI solutions. Responsibilities include designing pipelines, integrations, data models, APIs, data products, cloud architectures, analytics applications, and AI-enabled workflows. The role also establishes governance, metadata, lineage, data quality, observability, testing, CI/CD, and production deployment practices while partnering with technical and non-technical clients.