Top Hybrid Data Analysis Jobs

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.

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.

Develop and apply rigorous advertising measurement methods, including attribution, incrementality testing, experimentation, and marketing mix modeling. Partner with sales, advertisers, agencies, product, engineering, and data science teams to interpret results, improve media performance, onboard measurement partners, and build scalable privacy-forward reporting programs and tools. Conduct auction optimization analyses and communicate complex statistical insights to technical and executive audiences.

The Business Analyst validates, reconciles, and analyzes data to support program profitability, performance, and strategic decisions. Responsibilities include gathering business requirements, translating them into data-driven solutions, developing Power BI reports, documenting processes, resolving data discrepancies, and improving data collection and operational processes. The role partners with Program Directors and cross-functional stakeholders to maintain data integrity, regulatory compliance, and alignment between business and technical teams.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Leads attribution, performance measurement, experimentation, marketing mix modeling, and analytics strategy for an automotive brand. Builds unified measurement frameworks, translates insights into media and growth recommendations, establishes benchmarks, and guides incrementality studies and test-and-learn programs. Serves as a senior advisor to executive stakeholders, aligns cross-functional and external partners, and develops analytics talent while driving scalable, rigorous measurement practices.