Top Senior Level Data & Analytics Jobs in Dallas, TX

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.

The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Marketing Data Analyst will support the marketing team by providing data-driven insights on markets, competitors, and campaign effectiveness. Responsibilities include analyzing large datasets, creating visualizations, conducting ROI modeling, and facilitating data requirements for projects, while collaborating closely with stakeholders and senior staff.

The Senior Business Analyst for Revenue at Storable will lead projects, manage stakeholder expectations, and bridge business needs with technical solutions. Responsibilities include overseeing the lead-to-cash lifecycle, conducting data analysis using SQL and Tableau, and managing Salesforce and Hubspot configurations to support operational efficiencies.