Top Data & Analytics Jobs

Build user-facing reports, data models, and pipelines in BigQuery; apply statistical analysis to generate insights; troubleshoot analytics stack issues; review schemas and code; collaborate with product and engineering teams; and use AI agents to automate workflows and surface insights. The role requires strong SQL, BigQuery, Looker, Python, data warehousing, statistics, communication, and product judgment.

Leads monitoring, evaluation, accountability, and learning activities for a Uganda project. Coordinates data collection, analysis, reporting, feedback and complaints mechanisms, stakeholder consultations, partner and government capacity building, documentation, inspections, and budget tracking. Provides technical guidance, strengthens national monitoring systems, supports learning and adaptive implementation, and travels to project sites up to 30% of the time.

Analyze manufacturing, test, telemetry, warranty, field-return, and failure-analysis data to identify hardware quality trends and emerging issues. Build statistical analyses, dashboards, monitoring indicators, and automated reporting. Connect product performance to manufacturing processes, components, and test results; support failure investigations and corrective actions. Partner with hardware, manufacturing, quality, reliability, firmware, data engineering, and data science teams to resolve data gaps and communicate actionable recommendations.

Develops performance measurement systems, dashboards, reports, and databases; analyzes operational data, reconciles discrepancies, conducts root cause analysis, and recommends corrective actions. The role also automates data collection, supports Balanced Scorecard reporting, improves data accuracy, trains staff, and collaborates with leaders to drive continuous performance improvement.

Build and quality-check short-term-rental market reports using Google Sheets and AirDNA data, investigate local amenities, improve presentation with Claude, edit Markdown and HTML files, and publish polished deliverables through Cloudflare. The role requires strong attention to detail, accurate formatting, dependable delivery, and familiarity with Monday.

Maintain the integrity and accuracy of the Raiser's Edge donor database, monitor gift coding and new records, produce donor, financial, dashboard, and fundraising reports, reconcile gifts with Finance, generate mailing lists and acknowledgment letters, and establish database procedures and best practices. The role also coordinates data flow across software systems, supports development teams, and ensures confidential handling of donor information.

Supports banking applications, integrations, data transformation, reporting, dashboards, data quality, and analytics. Troubleshoots application and integration issues, assists with implementations and testing, validates data, gathers business requirements, maintains reporting documentation, and supports governance, compliance, security, and audit activities. The role also contributes to workflow automation, process improvement, and responsible adoption of AI technologies in financial services.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Analyze and organize healthcare supply purchase and contracting data to identify gaps, validate accuracy, apply contract and benchmark information, and produce customized client reporting. Translate findings into clear, data-driven insights, support purchasing and contracting decisions, manage project schedules and data requests, and collaborate with internal and external partners while developing category and industry expertise.

Maintain and update Navy enterprise GIS data in the SDE environment; reconcile real-property discrepancies; create standardized symbology layers, map templates, and regional and installation-level products; perform quality control and apply cartographic standards. Collect and integrate GPS data, manage spatial information from multiple sources, support audit readiness, and incorporate stakeholder feedback into GIS products.