Top Data & Analytics Jobs in Dallas, TX

Lead design and implementation of data infrastructure, pipelines, and warehouses using Azure Data Factory, Databricks, and Snowflake. Manage data modeling, quality, security, and analytics frameworks. Lead client accounts, mentor teams, and drive innovation to deliver data-driven business insights.

Lead analytics efforts for auto pricing loss estimation: develop, validate, and implement loss assumptions and statistical models (SAS/Python) to optimize portfolio profitability, support risk and regulatory requirements, monitor performance, and translate insights into strategic pricing recommendations across cross-functional stakeholders.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Owns the roadmap and backlog for pricing tools, gathers requirements, and coordinates delivery with data science engineering teams. Develops and maintains Earnix and SAS pricing tools, analyzes premium mismatches, resolves defects, conducts quality control, and supports rating program rollouts. Uses Python, SAS, Excel, and related technologies for pricing analysis and tool development. Collaborates with cross-functional partners, presents results, and supports knowledge sharing and process improvement.

Develop and modernize scalable batch and real-time data pipelines and feature engineering solutions on Databricks. Build feature store capabilities, migrate legacy Spark and EMR workloads, implement cloud-native AWS solutions, and apply testing, CI/CD, observability, governance, security, and data-quality controls. Collaborate with data scientists and stakeholders, contribute to architecture decisions, support production systems, and mentor junior engineers.

Leads global customer experience analytics strategy, developing analytical frameworks, predictive models, KPI systems, dashboards, forecasting, segmentation, retention analysis, and operational insights. Partners with CX, contact center, product, data, and business leaders to improve satisfaction, efficiency, retention, and business outcomes. Manages analytics initiatives and teams while translating complex data into executive-level recommendations and narratives.

Maintain and extend Snowflake and dbt marketing data models, dashboards, semantic models, KPI frameworks, and AI-agent validation processes. Investigate data quality issues, document metric definitions, assess downstream impacts of marketing technology changes, and translate stakeholder reporting needs into durable self-service data structures. The role requires collaboration across marketing, sales, IT, and finance to ensure trusted data and accurate AI-generated insights.

Build and maintain analytics data models, warehouse tables, views, and automated pipelines using dbt and Snowflake. Ensure data quality, consolidate business-unit data, develop ThoughtSpot dashboards, and analyze complex datasets to support product and operational decisions. Partner with product, engineering, and operations stakeholders, define metrics, improve self-service analytics, leverage AI tools for automation, and document data processes.

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.

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.