Top Data & Analytics Jobs
The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.
The Data Scientist/Sr. Data Scientist is responsible for analyzing marketing performance, generating insights, and building dashboards to measure marketing effectiveness. This role involves collaboration with the marketing team to foster a culture of testing while identifying automation opportunities to drive revenue.
The Revenue Operations Analyst is responsible for optimizing CRM tools and processes to enhance sales, marketing, and customer success efficiency. This role involves data analysis, workflow automation, and collaboration with internal and external teams while providing insights to drive revenue growth.
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The Director of Strategic Marketing and Business Analytics will lead the marketing strategy aligned with business objectives, drive analytics efforts, conduct market research, and develop analytical models for optimal performance. They will foster a data-driven culture and communicate insights effectively across the organization.
The Advanced Cyber Analyst will support the Cybersecurity Operations Center by analyzing cybersecurity data to identify threats and provide actionable recommendations to leadership through presentations and visualizations. The role requires active TS/SCI clearance, and familiarity with SNORT and Elastic Stack is essential.
The Senior Applied Research Scientist will develop novel radiotherapy algorithms and analytical dose calculation algorithms. Responsibilities include technical ownership, creating new radiotherapy products, testing algorithms, and communicating with both research and product teams to develop solutions that enhance cancer care.
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
The Senior Data Engineer will develop data-centric products, focusing on designing, constructing, and maintaining systems for efficient data collection, storage, and analysis. Responsibilities include creating data pipelines, optimizing performance and scalability, collaborating with teams, mentoring junior engineers, ensuring data quality and security, and documenting processes.
The Intelligence Analyst will provide open source cyber intelligence, assess threats, produce intelligence reports, and collaborate with team members to identify solutions for serious threats. Requires strong analytical, presentation, and problem-solving skills.
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