Top Hybrid Data Analysis Jobs

Supports the Data Intelligence & Advisory team by gathering business requirements, documenting user stories, participating in Agile ceremonies, translating requirements into technical designs, exploring wireframes, supporting testing and troubleshooting, and assisting with tool deployment planning. The intern works under direct supervision while collaborating with product owners, business users, development, testing, vendors, and internal teams.

Leads capacity and revenue optimization initiatives across healthcare offices. Responsibilities include forecasting, demand modeling, scheduling optimization, capacity planning, revenue strategy, dashboard development, experimentation, workflow automation, and scenario analysis. Partners with Data Science, Engineering, Finance, Marketing, Product, Technology, Operations, and Clinical teams to scale analytics, improve revenue performance, and balance patient access with operational efficiency.

Supports fundraising by managing prospect portfolios and pipelines, tracking moves management activity, conducting prospect research, and providing analysis and recommendations to philanthropy officers. Maintains accurate donor records and databases, develops reliable reporting, facilitates portfolio reviews, and identifies donor engagement opportunities using demographic, philanthropic, and engagement data.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Supports M&A acquisition integrations by collecting, cleaning, normalizing, validating, reconciling, and mapping seller data into Quench systems. Coordinates with sellers and internal teams to resolve data issues, maintain readiness trackers, prepare cutover materials, and verify migrated customer, billing, service, route, asset, and pricing data. Develops reporting and dashboards while partnering with IT on AI-enabled data intake, validation, exception management, workflow summarization, and process improvement. The role offers progression toward integration leadership within 12–18 months.

Own analytics for Customer Success and Operations by translating ambiguous business questions into metrics, reports, dashboards, and PRDs. Partner with senior leaders, CSMs, Analytics Engineers, and Operations teams to improve retention, permit turnaround, and organizational scalability. Build self-service dashboards, develop dbt models, document analytics assets, prioritize high-impact requests, and use LLM tools to accelerate SQL, reporting, and data-model development.

Lead complex quantitative and qualitative consumer research projects for SEGA’s game portfolio from study design through analysis, synthesis, reporting, and stakeholder readouts. Partner with Product, Brand, Corporate Planning, and Publishing teams to translate business questions into actionable insights. Manage research roadmaps and budgets, ensure methodological quality, align stakeholders, and mentor junior researchers. Research areas include market sizing, segmentation, concept testing, playtests, pricing, messaging, brand health, and product tracking.

Analyze survey and secondary data using statistical and multivariate techniques. Clean, structure, code, and summarize datasets; use SPSS, R, Excel, Python, and VBA to conduct analyses and automate procedures. Prepare Excel outputs and PowerPoint presentations, explain findings to internal and external clients, support analytic planning, and ensure accurate, timely delivery of market research work.

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.