Top Senior Level Business Intelligence Jobs

The Senior Intelligence Analyst will act as a liaison between customers and CrowdStrike teams, providing cyber threat analysis, customer briefings, and operationalizing relevant threat intelligence. Responsibilities include managing customer accounts, delivering presentations and intelligence reports, responding to inquiries, and identifying opportunities for improved customer satisfaction.

Develop and execute agency growth strategy, drive revenue growth through partnerships, build relationships with key stakeholders, and communicate Smartly's value proposition to agencies.

The Senior Information Security Analyst prepares and facilitates security examinations, collaborates with the Information Security, Risk, & Compliance team, identifies business risks, manages vendor security assessments, and enhances security awareness across the organization.

The Senior Business Analyst will develop data-driven insights and solutions for multiple business groups, propose innovative strategies, conduct complex analyses, and deliver actionable solutions that align with strategic goals. They will collaborate with stakeholders to shape business direction and develop predictive models for future scenarios.

The Sr. Data Manager oversees data management for North America Supply Chain, leading a team focused on data architecture, analytics, and digital transformation projects. Responsibilities include enabling the enterprise data hub, optimizing data processes, and managing development initiatives while supporting stakeholders’ data needs.

The Principal Business Data Steward will serve as a subject matter expert in customer profile data. Responsibilities include managing data compliance, partnering with various teams to ensure standards and governance, overseeing data accuracy, and reporting to management on progress and risks.

The Senior Consultant/Engineer will deliver complex solutions in areas like analytics and data strategy, manage client engagements, and oversee project budgets. The role requires strong technical skills in SQL and data modeling, along with business acumen in managing client expectations and relationships.