Top Remote Data & Analytics Jobs

No job responsibilities or technical details listed in the posting beyond an equal opportunity employer notice.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Deliver client-facing industry and consumer insights using NIQ data and tools. Analyze POS/panel and other NIQ data sources, visualize findings, present actionable recommendations, coach junior team members, and identify revenue opportunities while following NIQ service standards.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

The Software Engineer will manage data collection for AI model training, enhance the ingestion pipeline on GCP, and collaborate with the AI team to improve dataset quality and efficiency.

Support development and implementation of pricing strategies for small commercial P&C lines. Build rating plans, prepare rate filings, run profitability reviews, implement raters, perform GLM-based analyses, produce SQL-driven tools and dashboards, and present findings to stakeholders while partnering with underwriting, product, IT, and distribution teams.

Build, maintain, and validate production data pipelines and ETL infrastructure (BigQuery/GCS/dbt/Airflow alternatives). Ensure data observability, SLAs, and automated tests to deliver reliable datasets that support campaign decision-making and organizers. Collaborate with product and data teams across fast-paced, cycle-driven work.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

Lead advanced fundraising analyses to inform strategy across channels, owning end-to-end analytical projects, preparing and transforming data, building reports/dashboards as needed, producing written executive briefs, and partnering with stakeholders to translate insights into actionable fundraising recommendations. Mentor junior analysts and help establish scalable analytical practices.

Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.