Top Senior Level Data & Analytics Jobs

The Senior Manager of Business Analytics leads a team focused on business information analysis, supports decision-making, develops analytical goals, mentors team members, and improves operational performance. They create relationships across the company and deliver strategic insights while ensuring team alignment with business needs.

The Sr. Risk & Controls Testing Analyst will complete control testing, assess controls and processes, assist in creating remediation plans, and collaborate with business owners to address risks. They will provide evidence for control evaluations, deliver results to management, and make recommendations for control enhancements.

As a Senior Business Systems Analyst at Datadog, you will oversee the deployment and integration of SaaS solutions, ensure compliance and optimize spending while collaborating with stakeholders to identify opportunities. You'll stay updated on SaaS advancements to enhance Datadog's portfolio.

As a Lead Business Data Analyst, you will develop a vision and roadmap for data-driven practices, facilitate collaboration across the enterprise, analyze data processes for improvement, conduct in-depth analyses, provide actionable insights, and promote a data-driven culture. You will also guide senior leadership in leveraging data for decision-making.

Lead and oversee the Business Intelligence Center of Excellence, implementing a cutting-edge Data Marketplace and driving metadata management and Data Mesh architecture. Promote data literacy, ensure robust data governance, and enhance organizational capabilities in process mining, while collaborating with IT and business units to align data strategies with organizational goals.

The People Analytics Manager will lead the development of HR and Recruiting dashboards, translate data insights into visual tools, manage a small team, ensure data integrity, and collaborate with internal teams to enhance dashboard capabilities.

The Customer Success Analytics Lead will enhance business intelligence for Customer Success and Retention strategies by managing data, automating reports, analyzing customer behavior for retention opportunities, and collaborating across teams to implement data-driven strategies. They will also communicate insights and reports to leadership.