Top Remote Data & Analytics Jobs in Houston, TX

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The role involves providing high-quality input and data labeling for AI model training in quantitative finance, collaborating with technical teams, and ensuring innovation in algorithmic investment strategies.

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

The Business Intelligence Analyst II conducts data analysis, generates insights, crafts complex data queries, and collaborates with teams to enhance decision-making processes at Stewart.

As a Competitive Intelligence Analyst, you will gather and analyze competitive insights to support strategic decisions across product, marketing, and sales. This includes monitoring industry trends and creating comprehensive intelligence resources, such as competitor profiles and battle cards, while collaborating with cross-functional teams to enhance competitive positioning.

The Stop Loss Claims Analyst reviews, analyzes, and adjudicates stop loss claims, ensuring proper adherence to policy terms and guiding clients through complex claims.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Director, Global Advisory will act as a domain expert advising clients on fraud solutions, engaging with senior stakeholders, and driving product innovation.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.