Top Remote Senior Level Analytics Jobs in Dallas, TX

As a Senior GTM Systems Analyst, you will shape the systems strategy for marketing and sales functions, optimizing tools like Salesforce and BI tools. You'll lead projects, manage intake requests from stakeholders, build cross-functional relationships, and drive continuous improvement in GTM solutions to enhance customer satisfaction.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

As a Senior Pricing Analyst, you will manage the pricing proposal process, conduct market research, prepare cost estimates, and develop pricing strategies for proposals. The role involves analyzing customer RFPs, building cost models, and collaborating with cross-functional teams to ensure accurate and competitive pricing solutions.

The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.

Key role in quantifying and communicating the value of Included Health to clients, translating data into actionable insights, collaborating with teams, and developing data models and analyses.

The Senior Analyst will provide insights into the data center industry through market trend analyses, competitive intelligence, and data analysis. Responsibilities include monitoring competitors, analyzing industry reports, and collaborating with various departments to support strategic decision-making and growth initiatives.

The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.