Top Data & Analytics Jobs in Dallas, TX

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Leads advanced analytics for Sales Compensation, including quota processes, predictive modeling, reporting, data integration, ETL, and business intelligence. Analyzes data across applications, resolves discrepancies, defines data mappings, develops scalable automation and reporting solutions, collaborates with business stakeholders and DBAs, and delivers recommendations affecting multiple business organizations.

Supports enterprise software integrations, SQL database development, data flows, APIs, scheduled jobs, system connectivity, monitoring, troubleshooting, documentation, testing, and production support. Partners with technical and business stakeholders to resolve data issues, improve interoperability, support migrations and implementations, and maintain secure, governed, reliable data movement across enterprise systems.

Lead production support and continuous improvement for an Azure and Databricks data platform. Responsibilities include incident resolution, root-cause analysis, stakeholder communication, monitoring, performance and cost optimization, data quality and governance, change and release management, KPI reporting, documentation, training, and automation including self-healing capabilities.

Operationalize data governance policies and standards across technology and business domains. Maintain metadata repositories and data catalogs, manage data quality exceptions, coordinate remediation, monitor governance metrics, and build Power BI dashboards. Partner with data stewards, owners, project managers, Scrum Masters, and agile delivery teams to embed governance requirements, manage risk, improve data quality, and increase adoption. Provide guidance, documentation, education, and reporting in a regulated enterprise environment.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Provides business intelligence by researching and analyzing data, developing metrics, creating dashboards and reports, and communicating insights to support business decisions. Partners with product groups and multiple stakeholders to understand needs, manage projects, develop BI services, and recommend actions based on findings.

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.