Top Remote Data & Analytics Jobs

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Design, build, and maintain Tableau dashboards and KPIs, perform deep-dive analytics, partner with business leaders to translate questions into insights, support data governance and pipelines, and contribute to AI/automation initiatives to enable data-driven decisions across operational and financial units.

The Senior Geospatial Analyst performs advanced geospatial analysis, ensuring data integrity and quality, while supporting mission partners with actionable geospatial products. Responsibilities include data validation, quality control, metadata development, and stakeholder collaboration, along with mentorship of junior team members.

Lead end-to-end marketing and customer analytics: provision and clean data, explore and model (clustering, forecasting, driver models), build ML models and experiments, create dashboards and visualizations, present recommendations to clients, document data architecture, and mentor junior analysts.

Perform hands-on data analysis, profiling, reconciliation, and validation using Databricks and SQL. Lead UAT design and execution, coordinate testing with stakeholders, validate dashboards and workflows, document defects and recommendations, and support Agile delivery and release readiness using tools like Jira and Confluence.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

The Data Scientist will analyze data to optimize products, drive business decisions, develop models and algorithms, and enhance customer experiences.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.

Support GiveWell research by quality-checking and updating cost-effectiveness models, conducting desk research, summarizing grantee monitoring and evaluation, writing clear public summaries, and performing ad-hoc high-impact projects and project-management support for research investigations.

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.