Top Data & Analytics Jobs

Lead HR measurement and people analytics: design KPI/scorecard frameworks, blend internal workforce and external labor-market data, deliver executive-ready analyses and dashboards, analyze surveys, build self-service analytics, and apply AI to automate and scale insights.

Leads the firm’s global data governance program, establishing operating models, ownership and stewardship frameworks, data quality standards, metadata and lineage practices, governance forums, policies, controls, training, and measurement. Partners with business and technology stakeholders to resolve data issues, improve governance adoption, support regulatory and privacy requirements, and build trusted data foundations for analytics, innovation, automation, and AI.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Analyzes complex program data across Family and Youth Peer Support Services, ensuring data quality, managing reporting systems, developing dashboards and performance reports, identifying trends, and delivering actionable insights. The role coordinates cross-site reporting, supports data collection and process improvement, presents findings to leadership and external stakeholders, and provides technical guidance and training to program staff.

Leads monitoring, evaluation, learning, and performance-based financing system support for multi-country global health programs. Oversees performance and milestone monitoring systems, user access, training, technical support, data analytics, dashboard development, and actionable insights. Provides senior technical assistance, develops MERL strategies and tools, evaluates programs, builds organizational capacity, supports donor relations and business development, disseminates learning, and supervises technical staff.

Designs, develops, and maintains Snowflake data pipelines using Matillion for analytics and business intelligence. Responsibilities include ETL/ELT development, database optimization, data modeling, governance, quality assurance, documentation, troubleshooting, and integration of structured and unstructured data. The role uses Python, SQL, and PowerShell, collaborates with business and technical stakeholders, supports reporting initiatives, and evaluates emerging data technologies.

Develops and administers the botanical garden’s GIS environment, integrating spatial, biological, collections, infrastructure, and field data. Conducts conservation and planning analyses, creates maps, dashboards, web applications, and decision-support products, and ensures data quality and documentation. Coordinates field data collection, trains staff and volunteers, troubleshoots GIS workflows, and collaborates with conservation, research, university, and agency partners. The role includes indoor office work, outdoor fieldwork, occasional travel, and supervision of GIS volunteers and interns.

Provide forecasting and analytics to optimize staffing, scheduling and workforce allocation across customer care, collections, fraud and other operations. Analyze large datasets to produce demand forecasts and staffing plans, recommend process improvements, support operational readiness, manage stakeholder relationships, and uphold risk and control standards.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Analyzes complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Develops reports, dashboards, analytical models, and structured datasets using SQL, Databricks, and BI tools. Partners with cross-functional teams to define requirements, validate data, communicate insights, and support continuous improvement initiatives.