Top Hybrid Data & Analytics Jobs

Leads a business analytics team supporting revenue-management pricing decisions. Translates ambiguous business questions into hypotheses and analytical solutions, analyzes large structured and unstructured datasets, oversees A/B testing, and delivers recommendations on revenue, occupancy, yield, and pricing strategy. Manages senior analysts, prioritizes projects, coaches team members, and communicates findings to senior executives and revenue-management stakeholders.

Leads a business analytics team supporting cruise revenue management and pricing decisions. Translates ambiguous business questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis to optimize revenue, occupancy, and yield. Partners with senior revenue-management stakeholders, presents findings to executives, prioritizes projects, coaches analysts, and manages team performance and development.

Leads market intelligence, quantitative research, and strategic analysis for BNY’s global clearing platform. Assesses market structure, regulatory developments, technology trends, competitors, and growth opportunities across Fed, DTC, and international clearing and settlement markets. Develops data-driven strategies, supports cross-functional initiatives, guides prioritization, monitors industry shifts, and mentors junior analysts. The role requires strong analytical, communication, project-management, and financial-market knowledge, including curiosity about distributed ledger technology, stablecoins, AI, and evolving regulation.

Leads a business analytics team supporting revenue management and pricing decisions. Translates ambiguous commercial questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis, evaluates revenue strategies, and presents findings to senior executives. Manages priorities, coaching, performance, stakeholder relationships, and multiple high-priority analytical projects affecting revenue, occupancy, and yield.

Designs, builds, and maintains conformed dimensional models in dbt across multiple business domains. Integrates independent source systems, resolves inconsistencies, implements semantic-layer and data-governance artifacts, and improves data quality monitoring. Leads complex transformation projects, partners with stakeholders, mentors junior team members, and uses AI tools to improve development efficiency and quality.

Owns customer, marketing, digital, loyalty, and business intelligence analytics. Responsibilities include building dashboards, analyzing segmentation and lifecycle behavior, measuring campaign and promotional performance, evaluating experiments, forecasting customer value, improving data quality, and translating complex findings into actionable recommendations. Partners cross-functionally with Marketing, Finance, Product, Operations, Technology, and external agencies to improve decision-making and establish consistent measurement.

Analyzes syndicated retail data and client information to identify growth opportunities, deliver strategic insights and recommendations, and support client decision-making. Manages client needs and concurrent projects, coordinates training on SPINS data and applications, builds relationships across client organizations, and identifies relevant SPINS solutions. Requires strong analytical skills, business acumen, advanced Excel and PowerPoint capabilities, and experience with CPG, consulting, market research, or syndicated data.

Leads enterprise marketing measurement and consumer analytics across media, product, and retail businesses. Develops marketing mix modeling, experimentation, attribution, and performance measurement strategies; identifies growth opportunities; translates complex data into executive-level recommendations; partners with Marketing, Finance, Consumer Insights, and Analytics teams; and advances AI-enabled analytics capabilities and organizational maturity.

Analyze global performance marketing campaigns, measure media-spend impact, develop data-driven user-growth strategies, define marketing KPIs, and transform complex data into actionable insights. The role partners with data science and marketing technology teams, shapes backend data design, and builds dashboards in tools such as Tableau. Candidates need strong SQL, marketing analytics, data visualization, communication, and analytical skills, with occasional statistical programming experience preferred.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.