Top Senior Data & Analytics Jobs in Dallas, TX

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Develop and maintain BI and reporting solutions (SSRS, Power BI, HighCharts). Translate business requirements into technical specs, write complex T-SQL/stored procedures, resolve data issues, support client data reconciliation, and participate in requirements and development sessions.

Lead a small analytics team to deliver end-to-end interactions and events analytics: define data, pull and analyze datasets, build insights and recommendations, create and automate dashboards/reports, coach team members, partner with stakeholders, and drive continuous improvement to improve client interactions, retention, and operational performance.

Designs and governs Axiom's enterprise data model, sets data governance and quality standards, manages a Data Engineer, aligns data architecture and AI technology choices with enterprise strategy, administers Databricks, and ensures documented lineage, ownership, and data access for stakeholders.

Design and lead scalable data platforms and architectures (cloud and on-prem), build data lakes/warehouses, enable DaaS via REST APIs, mentor engineers, translate business goals into technical solutions, and support governance and integration across stakeholders.

Lead enterprise vision, strategy, and operating model for data and analytics engineering. Build and scale multi-layer engineering organizations, govern and modernize cloud-based data platforms, champion data products and AI capabilities, manage budgets and vendors, and partner with executive stakeholders to drive analytics adoption and transformation.

Lead CRM and personalization analytics for CRM campaigns, loyalty, and omnichannel experiences. Build and manage a small analytics team, measure and optimize campaigns, design A/B and multivariate tests, deliver customer lifecycle and segmentation insights, and partner with Data Engineering and Martech to ensure data quality and integration.

Designs, develops, and maintains BI analytic applications and reports. Gathers requirements, codes complex systems, performs SQL-based data extraction and performance tuning, integrates source systems, conducts testing, mentors junior staff, and supports deployment and documentation. Works cross-functionally to deliver data warehouse solutions and troubleshoot ETL and reporting issues.

Develops and maintains volume forecasting, capacity planning, and resource optimization models. Implements predictive modeling and operations research methods, ensures Model Risk Management compliance, monitors model performance, partners with front-line units, presents results to leadership, and mentors/onboards junior analysts.

Lead product and commercial analytics for Product Management: build and maintain forecasting, revenue/margin, backlog and market models; create dashboards and recurring reports; improve data integrity and reporting automation; perform market, competitive, and scenario analysis; partner cross-functionally to translate analysis into executive recommendations; incorporate AI-enabled automation to improve reporting and analytical workflows.