Top Data & Analytics Jobs

Designs scalable data architectures and pipelines supporting digital twins, analytics, and operational modeling. Develops a digital twin of operating-room environments, translates workflows into data and simulation models, and builds scenario-analysis capabilities for staffing, scheduling, capacity, patient flow, and resource utilization. Creates dashboards, APIs, and decision-support tools while establishing data governance, quality, lineage, validation, documentation, and monitoring. Collaborates with healthcare stakeholders, technical teams, and government leadership.

Supports museum membership and development teams by maintaining donor and member records in Tessitura, performing data entry and audits, identifying duplicates, supporting data-cleaning projects, and preparing reports. Assists with donor events, invitations, prospect research, mail merges, documentation, and administrative tasks. The role also helps ensure data privacy, improve database processes, and support fundraising, membership retention, and donor engagement.

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.

Support Maui post-disaster recovery by managing and developing project data systems, building backend database structures, updating website front-ends, and producing internal and external data metrics and visualizations to inform project leads, improve forecasting, and enable transparent, resilient infrastructure decision-making.

Designs, builds, deploys, and supports scalable batch and streaming data pipelines across enterprise and cloud sources. Develops governed data models, reusable data products, APIs, automated testing, CI/CD, observability, and production monitoring to support analytics, AI, and operational applications. Partners with technical and business stakeholders to translate requirements into secure, maintainable solutions and communicates technical decisions, risks, and outcomes in Agile environments.

Manages a data engineering and integration team delivering scalable data solutions aligned with technology, security, governance, and compliance standards. Oversees architecture implementation, delivery planning, data quality, lineage, metadata, risk management, operational performance, and continuous improvement. Leads hiring, coaching, resource allocation, and performance management while partnering with business stakeholders, architects, application teams, analytics groups, vendors, and technology leadership.

Administer and secure Oracle and other relational or NoSQL databases for a complex operational program. Responsibilities include monitoring, troubleshooting, performance tuning, replication, patching, disaster recovery, SQL and PL/SQL development, legacy data migration, schema design, and database loading. The role requires active TS/SCI clearance with an NSA full-scope polygraph and extensive hands-on database administration experience.

Develop and support enterprise BI solutions, including dashboards, reports, governed datasets, data marts, and ETL/ELT processes. Translate business requirements into technical designs, perform data analysis and validation, troubleshoot production issues, and maintain documentation, governance, security, and data-quality standards. Lead-level candidates will guide technical decisions, mentor team members, and coordinate complex initiatives and incidents.

Develop and maintain Power BI reports, dashboards, apps, and reusable semantic models using SQL, DAX, and Power Query. Own day-to-day Power BI platform operations, including workspaces, publishing, licensing, refreshes, gateways, permissions, and content lifecycle. Translate stakeholder requirements into decision-ready reporting experiences, validate data and calculations, support testing and releases, troubleshoot issues, and coordinate with engineering and security teams. Coach report authors and promote governed, reliable self-service analytics.

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.