Top Senior Level Data & Analytics Jobs
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.
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The Data Engineer is responsible for designing, developing, and maintaining data pipelines and infrastructure for storage and processing. They collaborate with data scientists and analysts to optimize data quality and ensure data consistency, transforming raw data for analysis and decision-making. They also monitor performance and implement governance strategies for data management.
As a Senior Data Scientist on the Risk and Data Science team, you will develop machine learning models to optimize customer long-term value. Responsibilities include managing risk through statistical techniques, overseeing the entire data science project lifecycle, collaborating with cross-functional teams, and ensuring model governance.
The DFIR & Threat Hunting Researcher at CyberArk will conduct digital forensics and threat-hunting across the global network, including developing tools and methods to improve detection and response capabilities. Responsibilities include performing analysis on various evidence types, maintaining forensic tools, collaborating with the SOC team, and researching emerging threats.
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 Cyber Intelligence Analyst is responsible for researching and analyzing cyberspace events and threats, providing intelligence reports, conducting training for analysts, and managing exercises to improve force readiness.
The Cyber Reinsurance - Analytics/Portfolio Lead will manage and analyze the cyber reinsurance portfolio, enhance underwriting practices using analytics, monitor portfolio performance, and communicate with underwriters, actuaries, and executives.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
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