Top Senior Data & Analytics Jobs

Supports Marriott’s Account Sales Organization through sales performance analytics, dashboard and report maintenance, data validation, KPI measurement, goal-setting, compensation reporting, and data governance. The role prepares analyses, reconciles data, documents reporting processes, assists with automation and process improvements, and communicates findings and issues to team members and business partners under guidance.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.

Lead second-line oversight of Data Quality controls: build and run a control monitoring program, manage annual oversight planning, perform design and operating effectiveness assessments, enforce sampling and evidence standards in the firm GRC tool, provide MI and challenge first-line owners, and lead a small team to drive remediation and reporting to senior management.

Lead design and delivery of data models, analytics, automated workflows, and visualizations to support HR decision-making. Build scalable data solutions for workforce planning, compensation, and reporting, deploy emerging technologies (GenAI, automation), ensure data governance and security, and partner with senior leaders on workforce strategy.

Develops data-driven solutions for business problems through data mining, modeling, analysis, and visualization. Manages data logistics, structures, business rules, metadata, and analytical support tools. Deploys and validates analytical solutions, communicates findings and recommendations to stakeholders, and manages multiple projects, timelines, and scopes. Independently resolves complex problems and may oversee project work and team development.

Lead design and execution of advanced personalization and experimentation programs to drive engagement and conversions. Own end-to-end Optimizely initiatives, design A/B and multivariate tests, perform cohort and incremental lift analysis, influence cross-functional teams, and mentor junior analysts.

Manages research data acquisition, licensing, contracts, vendor relationships, governance, and lifecycle management at Harvard Kennedy School. Leads data safety reviewers, develops compliant data management plans and SOPs, assesses risks involving sensitive and restricted data, and advises researchers and leadership on licensing, legal, regulatory, and security requirements. Coordinates with faculty, vendors, procurement, legal, compliance, library, and sponsored research offices while providing training and portfolio reporting.

Manages research data acquisition, licensing, contracts, vendor relationships, governance, and compliance at Harvard Kennedy School. Leads data safety staff, develops data management plans and SOPs, assesses contractual and privacy risks, and advises researchers and leadership on sensitive or restricted data. Coordinates with legal, procurement, sponsored programs, compliance, library, IT, faculty, and external providers to ensure data is properly licensed, secure, discoverable, documented, and used according to applicable policies and agreements.

Leads the design, development, and optimization of scalable Python and Azure data pipelines and services. Responsibilities include ETL development, data validation, schema enforcement, cloud orchestration, API and microservice development, performance tuning, monitoring, and secure integration with Azure services. The role supports analytics, machine learning, predictive modeling, real-time monitoring, data governance, reproducibility, and collaboration with data scientists, analysts, and cloud architects.

Provides business intelligence, portfolio management, and acquisition support within a government defense healthcare PMO. Responsibilities include executive dashboards and reporting, tasker and deliverable tracking, contract lifecycle and procurement support, requirements development, vendor coordination, compliance monitoring, acquisition documentation, data analysis, risk identification, and preparation of executive briefings. The role also supports communications, congressional affairs coordination, personnel actions, event logistics, and data integrity across program management systems.

Design, build, install, and manage relational databases including modeling, architecture, metadata/repository creation, configuration management, and performance tuning. Define database standards, controls, procedures, and documentation. Provide technical consulting and advise application developers on data solutions and database operations. Work independently under general direction on complex problems while maintaining an active Secret clearance.

Develop Power BI dashboards, reports, data models, and analytical tools for federal consulting engagements. Gather stakeholder requirements, integrate and validate operational data, create DAX calculations and Power Query transformations, and support forecasting, staffing, cost, inventory, and performance analysis. Optimize and document solutions, conduct testing and training, and transfer knowledge to Government users. Collaborate with logistics, operations research, security, and project management stakeholders.

Support onboarding, transformation, and validation of external data sources into legacy databases. Define ingestion and transformation specs, collaborate with developers on ETL/ELT, validate and troubleshoot data using SQL, maintain mappings, document processes, and coordinate cross-functional deployments and monitoring.

The Senior Business Systems Analyst leads requirement analysis, stakeholder collaboration, and data-driven insights to enhance business systems and processes. Responsibilities include data analysis, documentation, training, and quality assurance.

The Senior Quantitative Analyst designs financial models and BI architecture, communicates insights, and mentors junior staff, contributing to strategic decision-making.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Design, build, and operate enterprise-scale Microsoft Fabric data platform components and semantic models. Engineer scalable ELT pipelines, tune Spark/Delta workloads, enable secure governed data products, improve platform reliability and observability, and accelerate AI-native engineering with agentic workflows to support analytics, automation, and AI at scale.

Manages reporting and analytics operations, teams, workflows, critical business intelligence reports, and performance metrics. Leads data process improvements, requirements analysis, systems development, testing, reporting projects, and process re-engineering. Uses SQL, data warehouses, QlikView, Tableau, and related tools to support operational, financial, quality, compliance, and strategic decisions. Mentors staff, manages priorities, monitors risks, and partners with business leaders and clients.

Develop and maintain Tableau and other BI dashboards, reporting applications, data models, and ad hoc reports. Translate business requirements into technical specifications, perform ETL and SQL-based data analysis, optimize BI environments, and support the full reporting application lifecycle. Collaborate with architects, business teams, and developers to improve data-driven processes, resolve reporting issues, implement standards, and provide training and technical support.

The Business Analytics Manager develops operational reports, dashboards, scorecards, and business intelligence solutions for Contact Center Operations. Responsibilities include analyzing customer and operational data, identifying trends and root causes, automating reporting processes, modernizing analytics platforms, applying AI-enabled tools, and presenting actionable recommendations. The role partners with business, technology, product, and analytics stakeholders to improve performance, customer experience, reporting reliability, and data-driven decision-making.

Deliver complex analyses and BI reporting for Wealth organization using Python, SQL, and cloud tools. Build trusted data assets, dimensional models, automated pipelines, and visualizations. Support data quality, governance, and AI enablement. Partner with business and technology teams, manage projects, and mentor junior staff to drive insights and decision-making.