Top Data & Analytics Jobs

Develops and optimizes enterprise database environments across SQL Server and Azure platforms. Responsibilities include query and execution-plan tuning, indexing, database design, monitoring, incident response, backup and recovery, high availability, security, compliance, capacity planning, automation, documentation, and collaboration with development and DBA teams. The role supports ETL/ELT, data warehouses, lakehouses, and large-scale datasets, participates in on-call support, and may travel up to 10%.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

Provides senior technical leadership for designing, developing, and optimizing Palantir Foundry data pipelines, products, Ontology models, integrations, and analytical applications supporting USASOC missions. Translates operational requirements into secure, scalable data solutions; troubleshoots platform and data quality issues; collaborates with government and technical stakeholders; documents architectures; mentors engineers; and supports Agile delivery in classified or mission-critical environments.

Maintains and develops reporting capabilities, dashboards, models, scorecards, and automated processes for cross-functional business teams. Delivers recurring and ad hoc analyses, transforms large datasets into actionable insights, generates system load files, and improves reporting accuracy and efficiency. The role also documents procedures, trains users on reporting tools, communicates analytical methodologies, and supports operational and strategic decision-making.

Onboard and maintain global hospitality data for Business Intelligence solutions. Coordinate integrations with hotel technology providers, validate reservation and occupancy data, manage mappings and historical loads, troubleshoot discrepancies using SQL and Unix/Linux tools, and improve data governance and quality controls. The role serves as a liaison among customers, partners, and internal teams while driving onboarding projects through validation, approval, and production activation.

Leads organization-wide measurement, evaluation, and applied research initiatives. Designs research plans, evaluation strategies, data collection systems, indicators, and reporting approaches; analyzes quantitative and qualitative data; and translates findings into actionable insights. Oversees consultants, academic partners, vendors, and small teams while ensuring methodological rigor, ethical data practices, privacy, and quality assurance. Builds measurement capacity among staff and community partners, centers resident voice, and communicates impact through reports, dashboards, presentations, learning sessions, and stakeholder engagement.

Conduct external marketing research and data storytelling, transforming complex datasets into defensible narratives for press, customers, and industry audiences. Serve as an approval gate for marketing claims, ensuring data is substantiated before legal review. Independently manage research projects, coordinate external partners, and collaborate with Legal and product marketing. Apply industry expertise, analytical judgment, SQL, Python or R, BI tools, and AI tools to produce rigorous published insights.

Leads data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Maintains and governs SAP enterprise master data, including material masters, BOMs, routings, production versions, PIRs, source lists, and variant configurations. Manages SAP MDG workflows, validations, approvals, and data-quality rules. Conducts audits, resolves root causes, tracks governance KPIs, supports product launches, improves processes, and trains cross-functional teams on master-data standards and procedures.

Conduct quantitative research with senior researchers on trading strategies and models. Develop statistical models, investigate signals, optimize strategies, and analyze large-scale datasets using advanced computational resources. Collaborate in a rigorous academic environment, present complex ideas, and solve challenging real-world problems.