Top Analytics Jobs in Dallas, TX

The Pricing Lead Analytics Consultant will provide analytical insights for auto lending, drive pricing strategies, manage projects, and ensure compliance.

The role involves advising senior leadership, developing pricing and profitability strategies, leading complex analytical projects, and ensuring compliance while driving business strategy and growth for Auto lending.

The Pricing Senior Analytics Consultant analyzes data to drive pricing strategies, collaborates with teams, mentors staff, and develops growth strategies for auto lending.

Lead fraud detection and prevention analytics for travel and expense portfolios. Build and manage fraud rules, detect fraud patterns using SQL/Python/Snowflake, drive investigations, coordinate cross-functional resolution, monitor KPIs/KRIs, and prioritize multiple analytical projects to reduce fraud while preserving customer experience.

The Cloud FinOps Specialist analyzes and optimizes cloud costs, develops reporting pipelines, and collaborates with engineering teams to enhance cost efficiency and reliability.

Lead analytics initiatives to inform strategic decision making, providing actionable insights and recommendations using various data sources. Oversee projects, mentor analysts, and guide stakeholders.

The Sr. Manager, Monitoring and Analytics will execute monitoring controls, develop analytics frameworks, and collaborate with various teams to ensure accurate reporting and issue resolution.

The Procurement Analytics Associate will analyze procurement data, manage purchase orders, and create dashboards to enhance visibility for data center projects.

Lead and implement data and analytics solutions, architect data systems, provide assessments and roadmaps, and mentor teams in a consulting environment.

The Data Analytics Lead Analyst facilitates communication between business and technology, focusing on data analysis, reporting, development, and automation while mentoring other analysts and implementing process improvements.

Manage and optimize cloud and compute costs across Azure, Databricks, and Snowflake. Build cost tracking dashboards, develop tagging and allocation frameworks, partner with Engineering/Infrastructure to optimize resources, support budget reviews, govern provisioning and alerts, and align FinOps practices with SOC2/HIPAA requirements.

Lead complex data and financial analytics projects, applying advanced modeling techniques to improve business processes and influence executive decisions.

The role involves managing client relationships, delivering healthcare data analytics solutions, and translating complex insights into clear strategies for stakeholders. Responsibilities include coordinating teams, troubleshooting issues, and developing actionable recommendations based on data analysis.

The Claims Data Strategy Lead drives healthcare claims data initiatives, optimizing data models and ensuring analytical integrity. The role involves problem-solving, collaboration with teams, and independent project management.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead architecture and delivery of enterprise-scale data solutions on Azure with a focus on Microsoft Fabric. Design end-to-end data pipelines, ensure security and governance, translate business needs to technical specifications, and mentor engineering teams.

The role involves supporting analytics for Vizient clients by conducting analyses, presenting findings, and providing guidance. Responsibilities include data analysis, collaboration with leaders, and mentoring team members.

Analyze healthcare claims to identify payment anomalies, build statistical and predictive models, create dashboards and reports for executive decision-making, ensure data integrity, automate processes, and present actionable insights to stakeholders.

Build and maintain scalable People Analytics data pipelines and models using SQL, Python, Snowflake, and dbt. Monitor and automate ETL, implement testing, support reporting and dashboards (e.g., Looker), partner with HR/Finance/Payroll, and contribute to tooling, automation, and AI/LLM initiatives to ensure data quality and reliability.

Design, build, and maintain dbt models and semantic metrics; convert ad-hoc SQL into fact/dimension models; implement tests, documentation, and quality checks; optimize SQL for AWS Athena; use Git for collaborative development; and support downstream analytics and Power BI reporting.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

Responsible for defining, designing, and building dimensional databases, ensuring data integrity, and implementing data standards and guidelines.

As an Optimization Analyst, you will analyze data, develop test plans, and present findings to improve client decision-making and business performance.