Top Remote Data & Analytics Jobs

The BI Analyst will leverage data to enhance operational efficiency and inform product development, focusing on maintaining Tableau dashboards, optimizing data models, troubleshooting data discrepancies, and communicating insights to stakeholders for strategic decision-making.

The Marketing Data Analyst will build and manage audience segments, analyze campaign performance, and provide insights to optimize marketing strategies. This role involves maintaining CRM data, collaborating with marketing teams, and creating reports on key metrics while focusing on improving marketing effectiveness through data-driven decision-making.

As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.

The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.

The Senior Data Engineer & Analyst will design and productionize complex data pipelines, develop data ingestion modules, build AI models, and apply CI/CD practices to ensure code readiness. Collaborating in an Agile environment, the role focuses on enhancing hotel revenue and minimizing operating costs through scalable data solutions.

As an Actuarial Analyst, you will analyze insurance risks and develop statistical models to guide pricing strategies and performance assessments. You'll collaborate with various teams to align actuarial functions with company goals, ensuring compliance with regulations, and present your findings to senior management.

The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.