Top Hybrid Data Analysis Jobs

Lead end-to-end quantitative market research, including research planning, surveys, advanced statistical analysis, synthesis, and stakeholder presentations. Build and manage brand and sentiment measurement programs, identify customer and market trends, and provide strategic recommendations for growth and product opportunities. Partner with business leaders, promote research-driven decision-making, and mentor junior researchers while scaling the organization’s research practice.

Develops fraud rules, models, dashboards, and strategies to reduce fraud losses. Analyzes emerging fraud trends, monitors KPIs, conducts ad hoc analysis, supports production deployments, and communicates findings to technical and business stakeholders. The Thursday-through-Monday schedule requires weekend availability, with a hybrid arrangement based in Chicago.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

A one-day immersive career program offering women and non-binary individuals hands-on workshops, job shadowing, networking, and exposure to engineering and analytics paths in fintech. Participants will connect with technical specialists and industry leaders at Wise’s Austin office. The program is designed for Texas-based students, recent career changers, and professionals returning after a career break who have a basic understanding of engineering or analytics and want to build technology skills.

Develops and maintains quantitative risk model performance monitoring, data models, analytics infrastructure, and portfolio back-testing. Builds Python and SQL-based data processing tools, conducts statistical and exploratory analyses, reviews monitoring algorithms, supports model testing and validation, documents methodologies, and assists analysts. Collaborates with technology, data architecture, security, business, and model validation teams while applying financial mathematics, econometrics, machine learning, and risk management techniques.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Build scalable customer experience data systems, pipelines, dashboards, metrics, and reporting frameworks. Analyze customer interactions and operational data to identify performance drivers, root causes, and improvement opportunities. Develop AI and LLM-powered quality assurance and feedback workflows, maintain data governance, and ensure analytics platform reliability. Partner with Customer Success, Support, Product, Engineering, and Data teams to deliver actionable insights and executive reporting. Manage NPS outreach and communicate recommendations to leadership.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.