Top Analytics Jobs in Dallas, TX

Lead Ketchum's Analytics team, overseeing media measurement studies, managing budgets, and providing analytics insights to clients while mentoring junior staff.

Manage client relationships and oversee research projects. Develop and analyze large-scale studies, leveraging tech stacks for audience insights and communications evaluation.

The role involves developing and deploying analytics applications for commercial insurance, including building data pipelines, working with brokers, and operationalizing models, while focusing on client deliverables and enhancing workflows.

Lead the CRM analytics strategy, manage a small team, optimize marketing campaigns through data insights, and collaborate cross-functionally to enhance customer engagement.

The Analytics Specialist will conduct SQL querying, data cleaning, and validation, build dashboards and automated reports, and support data-driven operations.

The Data Analyst will drive analytics initiatives, mentor junior analysts, perform data analysis, and communicate actionable insights to stakeholders while leading complex projects.

The Payment Integrity Analyst II analyzes healthcare data to improve outcomes and optimize workflows, ensuring accurate claims processing and regulatory compliance.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

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.

Responsible for designing, building, and maintaining scalable data pipelines and transformation processes, ensuring data quality and collaborating with teams.

The Senior Analyst will support Torchlight Asset Management in portfolio analysis and reporting, working with various stakeholders and improving processes.

The Cloud Engineer will design, deploy, and maintain Azure-based solutions, collaborating with teams to ensure effective cloud service implementation and management.

The Data Product Manager will lead the development and scaling of data products, translating business needs into analytics solutions while managing projects and coordinating with stakeholders and teams.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

Collaborate with Marketing to analyze customer behavior and develop insights using large data sets. Execute analyses on business decisions, and present findings.