Top Data & Analytics Jobs

Design, develop, and maintain enterprise ETL pipelines and data integrations using Informatica technologies and SQL Server. Build batch and near-real-time workflows, mappings, transformations, and data quality rules. Collaborate with architects, analysts, governance teams, and business partners to translate requirements into reliable solutions. Support data synchronization, cleansing, MDM processes, testing, deployment, troubleshooting, and documentation within Scrum teams.

Leads digital and social analytics for PGA TOUR-owned platforms, including KPI measurement, dashboard development, reporting, data governance, validation, and audience insights. Integrates data from digital, social, media, and third-party sources to identify performance trends and opportunities. Delivers actionable analyses and executive reporting, supports automation and data quality initiatives, establishes measurement standards, and partners cross-functionally to improve fan engagement, content strategy, and business decisions.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Leads performance management and analytics for a multi-country global health award covering more than 170 milestones. Designs milestone tracking systems, dashboards, forecasts, reporting protocols, and early-warning processes; analyzes performance risks and coordinates corrective actions across global, country, technical, MEL, finance, and program teams. Translates complex data into actionable insights for leadership, supports adaptive management, and promotes continuous performance improvement.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.

Conduct market and competitor research, monitor industry trends, compile biographical and strategic profiles, and produce partner-ready reports and briefings using legal research platforms to surface business opportunities and support pitches for attorneys and firm leadership.

Build and maintain SQL and dbt-style data models, metric definitions, semantic-layer datasets, dashboards, and reports. Monitor data quality, investigate discrepancies, document analytics workflows, and support experimentation and performance measurement. Collaborate with stakeholders, analysts, and data teams to deliver reliable self-service analytics solutions and translate data into business and marketing recommendations. The role is designed for an early-career analytics engineer developing expertise in data modeling, visualization, and analytics engineering.

Build and maintain data pipelines to ingest, normalize, and deliver messy healthcare data (FHIR, HL7, CCDAs, PDFs) into structured models for AI and clinical use. Implement ETL, real-time webhooks, document extraction, PII sanitization, storage on AWS, and monitor data quality while ensuring compliance with healthcare interoperability standards.

Lead performance measurement and analysis for youth, foster care, and prevention programs. Supervise case record reviewers, produce reports, conduct quantitative and qualitative analyses, support incident and high-risk reviews, present findings, and partner with program leaders to improve operations and service delivery.

Designs and manages an enterprise data foundation supporting AI, analytics, and cloud applications. Responsibilities include building AWS ingestion and integration pipelines, managing S3 data lakes, developing QuickSight datasets, preparing data for Bedrock and RAG solutions, maintaining vector databases, and implementing metadata, lineage, governance, quality, and security controls. The role also develops APIs, supports SaaS application integrations, optimizes cloud storage, and collaborates with engineering, security, AI, and business intelligence teams.