Top Data & Analytics Jobs in Dallas, TX

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

Senior actuary responsible for developing and optimizing pricing and predictive models (GLMs and other techniques), conducting rate adequacy and portfolio profitability analyses, building data pipelines and tools, and partnering with underwriting, claims, finance, and IT to align pricing strategies and support complex accounts and product development.

The Data Management Lead documents data flows, validates datasets, analyzes data, diagnoses issues, and maintains governance documentation, focusing on data quality and analytics support.

Lead Market Influence measurement by defining core metrics, operating the measurement stack, and building the Databricks data warehouse. Own tooling, dashboards, and attribution; distribute intelligence via TrendIQ; collaborate with Marketing Ops, web team, and CI to support AEO/GEO, SEO/SEM, and competitive feeds.

Build, test, and maintain reusable analytical data models in Databricks using dbt. Onboard data sources, implement single-source-of-truth KPIs, create automated data tests, support releases, triage production issues, and enable analysts through documentation and coaching.

Develop automated reporting and forecasting tools, create standard and ad-hoc reports and analytical tools, analyze large datasets to identify trends, and provide insights to support managers and departments.

Produce and validate default reporting and analytics for mortgage servicing portfolios. Investigate data discrepancies, perform root-cause analysis, modify reports for ad-hoc needs, document processes, and collaborate with default management to ensure regulatory and investor-compliant reporting.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

Analyze profitability and financial performance, build and maintain reports and dashboards, partner with finance and business stakeholders to deliver insights, develop data models and metrics to support decision-making, and ensure reporting accuracy and consistency.

Consultant will produce requirement specifications and design details, develop Hadoop-based ETL solutions (HDFS, Hive, Pig, Sqoop), work with Teradata and BI/analytics tools, perform automation and performance tuning, coordinate projects, and support a management-consulting environment with regular travel.