Top Remote Data & Analytics Jobs

The Sr. FWA Analyst identifies fraud, waste, and abuse in medical billing through data analysis, supporting engineering and data science teams with validation and tuning of detection algorithms.

Prepare, clean, and analyze property exposure data for catastrophe modeling; run RMS/AIR models; generate and interpret loss outputs; produce reports and recommendations for underwriting and actuarial teams; support scenario analyses, data-quality improvements, and real-time event loss estimates; communicate results to technical and non-technical stakeholders.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.

Lead marketing performance analytics including budget allocation, channel mix, attribution, MMM/MTA, and incrementality. Build dashboards, KPIs, and scalable data models; partner with Analytics Engineering and marketing leadership to influence strategy, run experiments, and improve data quality and measurement across channels.

Lead Oracle Cloud reporting initiatives, ensuring data accuracy and performance while mentoring junior analysts and collaborating with stakeholders.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

Design and develop simulation frameworks for backtesting trading strategies, while collaborating with quantitative researchers on new trading ideas.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Lead administration and optimization of the Snowflake data warehouse. Design and enforce data management and security policies, tune performance and costs, lead migrations and ETL initiatives, manage Snowflake roles/SSO, mentor DBAs, and maintain architecture documentation while collaborating with data engineers and analysts.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.