Top Data & Analytics Jobs in Dallas, TX

Design, build, and optimize scalable batch and streaming data pipelines and workflows. Drive data governance, modeling, cataloging, access control, and performance tuning. Mentor engineers, translate business needs into data-lake/warehouse solutions (AWS/Snowflake), use enterprise AI responsibly to accelerate SDLC tasks, and collaborate with analytics and business stakeholders to support regulatory and business objectives.

Designs, builds, operates, and optimizes scalable batch and streaming data pipelines, workflow orchestration, data lake and warehouse solutions, and governance processes. Translates business requirements into secure, fault-tolerant architectures, performs quantitative analysis, manages data sharing, and supports regulatory requirements. The role also mentors engineers, establishes technical standards, validates AI-assisted engineering outputs, and guides data publication best practices.

Conduct advanced descriptive, diagnostic, and predictive analyses for Home Lending Sales. Combine internal and external data to identify trends, build analytical frameworks, enhance business intelligence and automated reporting, and communicate actionable insights. Collaborate with business and technical partners on data foundations and AI-enabled solutions that improve decision-making, customer experience, and business value.

Finance Data Science and Automation Interns build data pipelines, improve data quality and governance, automate reporting, apply AI and advanced analytics, support financial reconciliations and forecasting, and create Power BI dashboards. They partner with Finance and cross-functional teams to develop actionable insights, executive presentations, financial models, and process improvements. The internship is full-time for 12 weeks in Plano, Texas, and requires active full-time master’s enrollment.

Maintain the enterprise fleet ledger and configuration history, build analytical infrastructure and dashboards, produce 6/12/24-month forecasts of availability, and deliver decision-ready briefings to senior leadership.

Lead and manage delivery of modern data ecosystems and managed data analytics programs. Oversee project planning, budgeting, quality, and client accounts. Mentor teams, drive data strategy, convert insights to business opportunities, and ensure standards and risk management across large transformations.

Build and scale continuous monitoring and anomaly detection for Personal Lines Auto pricing programs. Analyze large datasets to detect issues, improve data quality, automate reporting, create dashboards and frameworks, and communicate findings to technical and business stakeholders. Partner cross-functionally to investigate root causes and support program-level monitoring for launched pricing programs.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

Assist in building and maintaining the Beckett Trading Card Game database by researching and adding new TCGs, collecting secondary market sales data, updating the online price guide, performing data entry, creating an image library, supporting ad-hoc TCG projects, and collaborating with Product and Marketing as needed.

Design, build, and maintain optimized, highly available data pipelines and the BMG data warehouse. Lead medium-to-complex data engineering initiatives, perform solution design, code reviews, QA, data integration, and collaborate across teams. Support cloud migration and ensure compliance with data policies for reporting and analytics.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

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.