Top Data & Analytics Jobs

Owns brand pricing principles, pricing architecture, discount budgets, competitive price positioning, and in-season analytics. Builds financial models, what-if scenarios, reporting, benchmarks, and actionable recommendations for merchandising and finance partners. The role validates AI-generated pricing outputs, automates recurring workflows, manages cross-functional relationships, and supports analyst development.

Own and expand Ramp’s AI spending research, including the Ramp AI Index, new adoption and ROI metrics, international analysis, and customer-facing insights. Produce research reports, visualizations, presentations, dashboards, and interactive tools for finance leaders. Translate data into recommendations for budgeting and AI strategy, collaborate with growth teams on distribution, and communicate findings through writing, events, and executive engagement.

Six-month fellowship analyzing alternative data to identify business and industry insights for investment professionals. Responsibilities include developing sector expertise, producing written and visual research, collaborating with data science, engineering, sourcing, and compliance teams, and translating complex findings for varied audiences. Fellows gain exposure to discretionary investing and may be considered for permanent placement after completing the program.

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.

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.

Supports an enterprise SAP S/4HANA transformation through data migration, source-to-target mapping, Alteryx ETL workflow development, AI-assisted data cleansing, and automated data validation. Assists project managers with task tracking, status updates, risk logs, and sprint coordination using Jira or Azure DevOps. Facilitates cross-functional data validation sessions, documents transformation logic, and records stakeholder sign-offs.

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.