Top Data & Analytics Jobs

Own digital analytics, reporting, dashboard development, data extraction, ETL, and AI-enhanced insight generation for luxury e-commerce. Partner with business leaders and online retail teams to translate questions into analysis, identify trends and opportunities, improve KPIs, and create self-service reporting. Present clear recommendations to leadership, maintain data governance, validate AI-generated insights, and support data and AI initiatives.

Own and evolve Stream’s end-to-end revenue operations data platform. Build Python and dltHub ingestion pipelines, SQLMesh transformation models, dimensional data models, quality and observability systems, and GCP infrastructure centered on BigQuery. Integrate GTM systems, enable trusted analytics and reverse ETL, improve reliability and cost efficiency, and establish engineering standards. The role requires hands-on platform ownership in a fast-moving hybrid Boulder startup environment.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

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.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Leads the agency’s data systems, architecture, analytics, reporting, and data governance strategy. Manages the Data Services team, budget, vendors, and projects while overseeing data warehouses, pipelines, APIs, dashboards, self-service analytics, and data quality practices. Partners with leadership and program teams to develop decision-support tools, improve data literacy, modernize infrastructure, and establish responsible AI standards addressing privacy, quality, governance, and human oversight.