Top Data & Analytics Jobs

Analyze complex datasets to identify trends, KPIs, and actionable insights; evaluate reporting, dashboards, and CRM solutions; develop source-to-target mappings, data-cleaning protocols, and best-practice reports; aggregate supplier/contract performance metrics; support acquisition strategy and conduct contract surveillance to ensure timely delivery and cost accuracy; collaborate with project managers and stakeholders to deliver analytic solutions and technical documentation.

Design, develop, and maintain Power BI dashboards and data models; build DAX calculations, transform data with Power Query/Dataflows, automate workflows with Power Automate, gather stakeholder requirements, present insights to leadership, troubleshoot data/reporting issues, document solutions, and train end users.

Responsible for developing end-to-end analytics pipelines, integrating AI, and creating dashboards for military and government leadership decision-making while ensuring compliance with cybersecurity standards.

Design, develop, and optimize data warehousing and ETL/ELT solutions on Microsoft SQL Server and cloud platforms. Perform data profiling, cleansing, dimensional modeling (Kimball), and performance tuning. Build semantic models and Power BI/Microsoft Fabric solutions, advise on architecture, mentor teammates, assist in pre-sales/scoping, and promote BI best practices across clients.

Lead a data analytics team to define platform strategy and deliver hands-on BigQuery and Looker solutions for Investment Banking Operations. Balance people leadership, product roadmap, and development to improve efficiency, mitigate risk, and create AI/ML-enhanced tooling across global operations.

The Data Engineer will develop and maintain data pipelines, perform backend integrations, and enhance data systems for effective reporting and analytics.

Lead Business Intelligence and business change efforts: analyze performance, prioritize BI requests, ensure data integrity, influence data platform and governance, coach and manage a Business Analysis team, and deliver strategic projects aligned with stakeholder objectives.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

Maintain and curate UQ eSpace publication records and metadata to ensure discoverability and reporting accuracy; support open access initiatives; review research data for reporting; provide guidance to researchers and stakeholders.

Manage and optimize the donor CRM to ensure accurate gift entry and donor records, enforce data standards, run reports and analyses to inform fundraising strategy, support the Development team, and maintain confidential donor information. Assist with imports/exports, track donor metrics, and support campaign reporting and acknowledgments.

Produce and validate default reporting and analytics for mortgage servicing portfolios. Investigate data discrepancies, perform root-cause analysis, modify reports for ad-hoc needs, document processes, and collaborate with default management to ensure regulatory and investor-compliant reporting.

Lead and scale a GTM analytics team delivering end-to-end insights across Sales, Marketing, and Customer Success. Partner with Data Engineering and Systems teams, own executive reporting (Tableau, Salesforce), establish standards, drive data governance, pilot AI-assisted analytics, and translate complex GTM metrics into actionable narratives for senior leaders.