Top Senior Level Data & Analytics Jobs

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.

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 Director of Data Strategy and Analytics will lead the strategy and analytics function to empower Sales, Marketing, and Customer Success by developing data-driven insights and performance management systems. Responsibilities include building analytics capabilities, managing a team of analysts, and conducting complex analyses for strategic decision-making.

As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.

As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.

The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.