Top Remote Senior Level Analytics Jobs

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

As a Senior Information Security Analyst at Iodine, you will manage security operations, respond to incidents, design information security programs, and collaborate with stakeholders on Cyber Security exercises, including Tabletop and Red Team activities.

The Senior Data Product Manager will lead the development of a data analytics product, set product strategy, collaborate with engineering and data science teams, and optimize insights for manufacturing processes. Responsible for managing product features and ensuring timely delivery while integrating diverse data sources.

As a Manager, Data Analytics, you will lead the development of a data analytics team at Ontra, translating business challenges into metrics, driving actionable insights, and coaching the team in delivering high-impact solutions. This role requires problem-solving skills, resilience, and the ability to foster a data-driven culture within the organization.

The Staff Risk Analyst role focuses on enhancing Fair Lending analytics within SoFi's second line of defense program. Responsibilities include collaborating with Credit Risk and Compliance teams, performing statistical reviews of data, and updating the Fair Lending program based on regulatory changes. Communication of findings to partners is also a key aspect of the role, alongside promoting process improvements and data collection efforts.

The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.

As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.