Top Senior Level Analytics Jobs in Dallas, TX
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
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.
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 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.
The Workday Lead Analyst will design, develop, and maintain Workday integrations and reports, support HR and Finance functions, and ensure the smooth operation of Workday systems. Responsibilities include system maintenance, report development, user training, and participation in project management.
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
Seeking an Operations Analyst to support Program Management for Navy initiatives including payroll, data conversion, training, and testing for ERP systems. Responsibilities include project management, writing assignments, training support, development of policies and procedures, risk mitigation, data validation, and process automation. Requires a Bachelor's degree and a minimum of 10 years experience in data analysis, statistical analysis, financial analysis, or public affairs with knowledge of Federal Budget Process and Navy POM.
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