Top Senior Level Analytics Jobs in Dallas, TX
The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.
The Sr Analyst in Marketing Technologies will oversee the evolution of the marketing technology portfolio, ensuring reliable, customer-focused solutions. Responsibilities include designing architectures, delivering features and upgrades, and collaborating across teams. The role demands the adoption of best practices and the ability to monitor emerging trends to enhance the MarTech stack for organizational needs.
The Data Senior Principal Consultant guides clients through the implementation and operational phases of Workday, leveraging expertise in design, configuration, and data management. Responsibilities include mentoring other consultants, managing project workstreams, and ensuring successful data conversion processes.
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
The Senior Data Analyst will analyze complex healthcare data to extract actionable insights, develop data visualizations using BI tools, collaborate with teams to meet data requirements, and ensure data integrity through validation and profiling. They will present findings to stakeholders effectively.
As the Team Lead for Insights & Analytics, you will guide data-driven strategies, collaborate cross-functionally, and mentor your team. Your role involves providing actionable insights to improve business performance, balancing analytical skills with leadership to optimize processes and drive organization-wide efficiencies.
As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.
As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
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