Top Data & Analytics Jobs

Analyzes marketing programs, promotions, events, direct mail, email offers, and player development initiatives. Creates reinvestment reports, proformas, post-analysis, database dashboards, customer lists, and marketing data extracts. Maintains database accuracy, standardization, and integrity while coordinating with vendors and internal departments. Supports casino marketing objectives, customer loyalty, repeat business, brand recognition, and revenue growth through database marketing analytics.

Leads enterprise data management and governance strategy, standards, policies, lifecycle practices, metadata, data quality, and regulatory alignment. Partners with data owners, stewards, business leaders, architecture, analytics, and technology teams to improve data maturity and embed governance requirements. Chairs governance committees, drives quality controls and remediation, facilitates change management, promotes adoption, and advises on data definitions, lineage, cataloging, classifications, and enterprise data roadmaps. This role emphasizes influence and governance rather than hands-on engineering or ETL/ELT development.

Develops and maintains Power BI reports, dashboards, semantic models, and analytical products supporting U.S. Army mission operations and leadership decisions. Responsibilities include gathering requirements, transforming and modeling data, developing DAX measures, validating data quality, optimizing reports, managing refreshes and deployments, troubleshooting issues, documenting reporting logic, and collaborating with government stakeholders and technical teams. The role also supports Power Platform integrations, user acceptance testing, governance, and embedded Power BI dashboards within Power Apps.

Leads market, demand, viability, pricing, and financial analysis for new university program proposals. Develops business cases, scenario models, dashboards, reports, and recommendations for senior decision-makers. Supports student load planning, admissions monitoring, government reporting, fee reviews, data governance, and reporting-system improvements. Partners with academic and professional stakeholders to guide proposals through governance and approval processes.

Develop and maintain scalable ETL/ELT pipelines, data integrations, and automated workflows across complex source systems. Responsibilities include data transformation, cleansing, validation, migration, quality assurance, performance troubleshooting, AWS resource creation, database administration, API integration, documentation, and collaboration with engineering and analytics teams.

Analyzes product, sales, orders, pricing, inventory, profitability, and market data to generate actionable insights for strategic and operational planning. Develops forecasts, competitive analyses, pricing recommendations, dashboards, reports, and presentations for senior leadership and cross-functional teams. Supports product configuration databases, inventory optimization, and customer and sales discussions using advanced analytics and visualization tools.

Design and deliver modern data platforms, scalable and secure ingestion and transformation pipelines, durable data models, streaming systems, and reporting layers. Partner directly with clients and business stakeholders to translate requirements into architecture, explain tradeoffs, and own delivery outcomes. The role includes production implementation across cloud data platforms, orchestration, governance, real-time technologies, and analytics or AI data consumption.

Analyze product performance and sales data, manage inventory, and collaborate with suppliers to optimize product sourcing and delivery.

Leads the enterprise data strategy, builds and scales the Data & Analytics team, and oversees data warehouse modernization, migration, governance, KPI standardization, and data quality. Partners with executives and cross-functional teams to convert data into actionable insights, operational improvements, predictive analytics, and AI-enabled workflows. The role requires hands-on Python, SQL, cloud, machine learning, and ETL expertise, plus strong leadership and communication skills.

Leads the Enterprise Data Platform team, managing data engineers and driving the data engineering roadmap. Oversees scalable pipelines, ETL/ELT workflows, cloud architectures, data models, governance, quality, lineage, and performance optimization. Partners with technology and business leaders to deliver enterprise data solutions and AI/ML capabilities. Responsibilities include architecture decisions, team development, mentoring, stakeholder collaboration, compliance, and operational improvement.