Top Data & Analytics Jobs

Supports marketing analytics through dashboard development, recurring and ad hoc reporting, data hygiene, database querying, statistical analysis, and actionable recommendations. Provides hands-on support for Voice of the Customer and Customer Lifetime Value programs, including survey data consolidation, response monitoring, reporting, and research-partner coordination. Manages analytics request intake, prioritization, documentation, and stakeholder communications across Marketing and eCommerce.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Analyze administrative and clinical healthcare data to build reporting solutions, identify optimization opportunities, and support clinical program effectiveness. Apply statistical analysis, data mining, and predictive modeling to improve decision-making, patient outcomes, utilization, and cost efficiency. Develop dashboards and KPIs, monitor healthcare trends, collaborate with clinical, data science, engineering, and client teams, and lead complex multidisciplinary projects.

This role involves analyzing credit risk, improving lending policies, preparing loan performance data, and supporting regulatory compliance efforts. It also includes data querying and collaboration with analytics teams to optimize credit strategies.

The Product Analyst analyzes member and product performance, collaborates with teams to improve products, and provides actionable insights using data.

Finance Data Science and Automation Interns build data pipelines, improve data quality and governance, automate reporting, apply AI and advanced analytics, support financial reconciliations and forecasting, and create Power BI dashboards. They partner with Finance and cross-functional teams to develop actionable insights, executive presentations, financial models, and process improvements. The internship is full-time for 12 weeks in Plano, Texas, and requires active full-time master’s enrollment.

Own website analytics, KPI frameworks, funnel analysis, user behavior insights, and experimentation strategy. Identify conversion opportunities, prioritize roadmap initiatives, and lead testing, optimization, segmentation, and personalization programs. Partner with Marketing, Product, and Engineering to align experiments with business goals, communicate findings to senior leadership, and improve engagement and conversion through accurate measurement and data-driven recommendations.

Analyze business operations and complex datasets to identify trends, opportunities, and challenges. Use SQL, statistical methods, hypothesis testing, and Power BI to develop dashboards, executive reports, and actionable recommendations. Translate business requirements into analytical frameworks, design tests measuring incremental growth, collaborate with cross-functional stakeholders, and lead projects from initiation through completion.

Analyzes customer and business requirements, data, test results, and program outputs to implement accurate batch data fulfillment solutions. Serves as a liaison between business, technical, and operational teams; configures systems, executes test plans, troubleshoots processing issues, maintains documentation, and ensures compliance with legal and operational standards. The role also supports process improvements, cost reduction, quality initiatives, and timely program delivery using proprietary systems.

Build and lead Ashley’s consumer insights capability, including research roadmaps, custom qualitative and quantitative studies, insights repositories, prioritization processes, and executive-ready storytelling. Translate consumer, retail, marketplace, feedback, and business data into actionable recommendations for product, marketing, merchandising, pricing, and growth decisions. Influence cross-functional stakeholders, develop AI-enabled synthesis workflows, and manage one direct report while operating resourcefully with imperfect data.

Produces automated and custom client-facing healthcare reports, translating ambiguous business questions into robust analyses and presentations. Builds scalable reporting automation with data engineering partners, improves report efficiency and accuracy, identifies reporting gaps, develops domain expertise, and investigates complex business questions for strategic decision-making. Advocates for strong data visualization, documentation, metric consistency, and stakeholder communication practices.