Top Data & Analytics Jobs

Manage and maintain accurate campaign data, organize and validate large datasets, perform cross-referencing and quality checks, and create daily and weekly Excel reports. Present findings to campaign managers and team leads, identify anomalies or gaps, resolve data issues, and support accurate, accessible decision-making in a fast-paced digital marketing environment.

Performs bilingual Hebrew-English data entry, editing, merging, research, analysis, and word-level translation quality assurance in a large international database. Requires accuracy, attention to detail, strong internet research and analytical skills, independent work, and adherence to productivity and service-level targets. This is a flexible, remote, project-based freelance role with variable workload and identity verification requirements.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

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.