Top Data & Analytics Jobs in Dallas, TX

The Senior Pricing Decision Analyst is responsible for analyzing automotive financing products, optimizing pricing, managing risk, and developing reporting mechanisms to drive business performance. Key tasks include statistical analysis, profitability reporting, and cross-organizational collaboration to improve pricing strategies and sales outcomes.

The Intelligence Analyst will create intelligence reports and assessments focused on identifying threats and vulnerabilities to U.S. interests, perform technical analysis, conduct training, and prepare after action reports. The role requires collaboration on military decision making processes and incorporating all-source information into reports.

The Program Analyst, Capability Integrator will support the Department of the Army by managing Operational Needs Statements, producing status reports, drafting memorandums, and coordinating with stakeholders. The role requires ensuring project completion in accordance with approved plans and adjusting efforts to meet mission requirements.

The Subcontracts Administrator III is responsible for all phases of subcontract administration including acquisition planning, source selection, cost and price analysis, negotiation, and compliance with government policies. Duties include coordinating subcontract documentation, evaluating proposals, ensuring compliance, and collaborating with various stakeholders.

The Category Analyst completes various analytical assignments for the Category Management and Sales teams, interprets data, develops insights, and executes space management projects. Responsibilities include space planning, data analysis, presentations, and collaborating with stakeholders. Minimum qualifications include 2+ years of analytical experience, strong technical skills, and a Bachelor's degree.

The Senior Data Scientist will enhance the Air Force's Enterprise Risk Management initiative using advanced analytics and AI to identify and mitigate risks. Responsibilities include building data pipelines, developing predictive models, conducting risk analyses, and providing insights for strategic decisions, all while ensuring data accuracy and collaborating with stakeholders.

As a Data Engineer II at USAA, you'll manage the data lifecycle, develop data pipeline code, and collaborate with senior engineers. Responsibilities include designing, testing, and deploying data solutions, assisting in technical implementations, participating in Agile ceremonies, and helping onboard entry-level engineers.

The Senior Risk Analyst role at USAA focuses on assessing, managing, and communicating data-related risks within financial operations. Key responsibilities include collaborating with business partners to identify risks, implementing risk policies, producing analytical materials, and leading cross-functional teams in identifying and mitigating risks. Strong communication and analytical skills are essential for delivering findings to senior leadership.

The Quality Assurance Analyst at the Federal Reserve Bank of Dallas will perform banking supervision quality assurance activities to ensure compliance and identify risks. The role involves facilitating oversight committee meetings, supporting compliance areas such as Sarbanes-Oxley, and maintaining relationships within the organization to monitor risks.

As a Data Analytics Consultant, you will work directly with clients to define business problems and analysis requirements. You will use analytical skills to manage data, create reports, and communicate results effectively while ensuring business value is achieved.

The Manager/Sr Manager of Analytics will oversee the coordination with functional teams and stakeholders, managing Agile activities using Jira and Confluence, building data pipelines, and developing training for automation solutions. The role requires strong communication skills and experience in FP&A and managing complex software deployments.

As a Principal Data Engineer, you will design and build data ingestion pipelines, conceptualize high-performance data processing, and collaborate with multiple teams to deliver analytical solutions using Azure and big data technologies. You will also ensure the quality and scalability of your code while engaging with stakeholders across the organization.