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Supports budgeting, forecasting, financial modeling, variance analysis, performance reporting, and business reviews. Partners with business groups and Accounting to explain financial results, investigate trends, maintain projections, and provide practical recommendations. The role also improves reporting processes and manages competing analytical requests while working onsite in Scottsdale Monday through Thursday and remotely on Friday.

Build, segment, test, QA, schedule, and deploy promotional and automated email campaigns. Manage lifecycle communications for onboarding, engagement, retention, and re-engagement; analyze campaign performance, run A/B tests, optimize content and timing, improve workflows, and coordinate with cross-functional teams. The role also uses AI tools for content development, analysis, and quality checks with human review.

Build and optimize automated and promotional email campaigns, lifecycle journeys, product and promotional marketing communications, and personalized member experiences. Use segmentation, testing, analytics, marketing automation, and AI tools to improve campaign performance. Collaborate cross-functionally with sales and operations while managing high-volume campaigns and quick turnarounds.

The Senior Accountant manages general ledger and revenue accounting, journal entries, reconciliations, monthly close activities, variance analysis, audit and tax support, internal controls, and process improvements. The role also contributes to system implementations, financial reporting, and team collaboration while maintaining compliance with U.S. GAAP.

Own email, lifecycle, product, and promotional marketing programs for travel loyalty members. Build and optimize automated campaigns in Marketo and the CMS, manage member journeys, segment audiences, personalize messaging, and analyze performance. Conduct testing, improve campaign results, use AI-enabled marketing tools, and collaborate cross-functionally with sales and operations. The role requires hands-on email execution, fast turnaround, strong analytical judgment, and four days onsite weekly in Scottsdale.

Lead marketing effectiveness, experimentation, causal inference, predictive modeling, attribution, funnel measurement, and customer analytics. Build production-quality datasets, features, and models; assess data quality and instrumentation; communicate uncertainty and recommendations to executives; and coach analysts on reproducible, responsible methods. The role influences marketing investment, customer targeting, revenue, and enterprise priorities across travel, finance, operations, and customer experience.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes and optimizes DAX, applies security controls, validates data quality, and creates certified datasets and reusable templates. Partners with stakeholders to define reporting requirements, presents insights, participates in peer reviews, and uses AI tools to improve analysis and delivery.

Designs and optimizes enterprise data pipelines within Microsoft Fabric, including lakehouse and warehouse architectures, real-time ingestion, cloud migration, governance, CI/CD, and reporting layers. The role uses PySpark, Spark SQL, T-SQL, AI tooling, vector search, and RAG patterns while ensuring performance, reliability, and SLA compliance. Responsibilities also include mentoring junior engineers, leading technical standards, and collaborating with analysts, data scientists, and stakeholders.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Translate business requirements into data models, visualizations, and DAX measures; apply security and governance standards; validate data quality; create certified datasets and reusable templates; and collaborate with stakeholders to turn reporting insights into business decisions. The role also requires using AI tools and supporting peer reviews and self-service analytics.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security governance, stakeholder requirements gathering, self-service dataset creation, and presenting insights. The role also requires collaboration across teams and use of AI tools to improve analysis and delivery.