Top Senior Data & Analytics Jobs

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Leads data and analytics consulting teams delivering enterprise data architecture, pipelines, analytical environments, data models, visualizations, and integrations. Responsibilities include hands-on SQL and Python development, project lifecycle leadership, stakeholder workshops, executive communication, risk mitigation, client support, mentorship, recruitment, and practice growth.

Develop and maintain Tableau dashboards, analyze HR and workforce data using SQL, and translate findings into actionable stories for executives and business leaders. The role defines HR metrics and reporting frameworks, supports data architecture and warehousing practices, collaborates on data pipelines, and ensures HR data accuracy, governance, integrity, and privacy. It partners with HR, Finance, IT, data engineering, and other stakeholders to improve workforce strategy, operational efficiency, and employee experience.

Operationalize and manage enterprise governance across AI, automation, data, analytics, and product investments. Own policies, standards, exceptions, committee operations, maturity tracking, stakeholder requirements, business cases, data catalog and lineage tools, risk scoring, security controls, training, and leadership reporting. The role requires business analysis, data governance, AI risk assessment, regulatory awareness, requirements translation, Agile delivery, and collaboration with technical and non-technical stakeholders.

Lead enterprise marketing measurement strategy, govern data collection and BI tooling, ensure HIPAA-compliant analytics, build dashboards and attribution models, enable analytics literacy, manage vendors, and deliver decision-ready insights to senior leadership across university units.

Leads the data platform strategy, infrastructure, operations, and continuous improvement programs. Manages data engineers, provides technical guidance through design and code reviews, oversees data pipelines and incidents, drives observability and automation, coordinates enterprise AI and analytics initiatives, and manages team budgets and schedules. The role also supports data governance, platform technology selection, scalable solution design, and evolving team capabilities.

Operationalize and manage enterprise governance across AI, automation, data and analytics, and product investments. Own governance policies, exceptions, committee operations, maturity tracking, stakeholder requirements, risk scoring, data catalog and lineage processes, security and privacy controls, reporting, and user enablement. The role requires business analysis, data governance, AI risk assessment, regulatory awareness, Agile delivery, and collaboration with technical and non-technical stakeholders.

Develop and enhance data warehouses, BI platforms, Tableau dashboards, and self-service analytics solutions. Analyze data, fulfill rapid reporting requests, identify actionable insights, automate reporting processes, and collaborate with business, BI, and IT stakeholders to improve data quality and decision-making.

Supports and transforms university registrar processes using PeopleSoft Student Records. Maintains configurations and batch processes, develops queries and reports, tests system updates, defines requirements, manages enhancements and projects, troubleshoots production issues, and maintains documentation. The role collaborates with business and technology teams, leads and trains analysts, provides staff training, and translates technical requirements into practical solutions.

Owns data operations supporting client reporting, campaign delivery, and month-end billing. Troubleshoots data and backend issues across Salesforce, Fivetran, Snowflake, Sigma, and partner platforms; builds workbooks, views, models, dashboards, and custom analyses; manages permissions, onboarding, data feeds, and external data delivery; resolves campaign, reporting, reconciliation, attribution, and data-quality issues; automates processes and coordinates cross-functional resolution.