The Company:  This opportunity is with a full-service digital marketing agency focused exclusively on the online gaming, sports betting, and casino industry, offering expert user acquisition, CRM, and creative services to help brands grow and compete globally. About the Role:  In this role, you will be responsible for developing and implementing effective CRM strategies to increase customer loyalty, retention, and revenue growth for the company's growing portfolio of clients. Key Responsibilities: Manage execution of email, push and in app messaging campaigns and partnering with internal and external stakeholders to ensure our clients objectives are met. Manage campaigns end-to-end, including targeting, segmentation, set-up, testing, execution, fulfillment, reporting and optimization. Create and manage personalized modules and campaign automations. Create and manage promotions for clients. Analyze campaign performance to provide actionable recommendations and deliver continuous improvements to CRM marketing programs. Manage relationships with CRM software vendors and ensure the effective use of CRM tools and technologies. Stay current on industry best practices and trends, and leverage this knowledge to inform the strategy. Qualifications: A hunger to be a continuous learner and getting things done in the digital gaming space Creative problem-solving acumen, as well as analytical rigor to verify or invalidate assumptions Hands-on experience with major CRM systems, ESP’s and Push providers like Optimove, Braze, Bloomreach, etc.  Familiarity with online gaming and sports

The Company:  This opportunity is with a full-service digital marketing agency focused exclusively on the online gaming, sports betting, and casino industry, offering expert user acquisition, CRM, and creative services to help brands grow and compete globally. About the Role:  As a CRM Coordinator, you will focus on the retention of users for the company's growing portfolio of clients while leveraging all communication methods. You will help support the creation and execution of all campaigns across email, mobile and onsite channels. You will be exposed to the company's campaign and customer strategy across multiple online Casino and Sportsbook clients. Key Responsibilities: Support the execution of a wide variety of CRM campaigns from planning to final deployment including but not limited to email, push, in-app communications Become proficient with our campaign execution platforms including CRM platforms and our client’s backend. Liaise with the creative team, project stakeholders, and agency partners to ensure that all campaign assets are available and ready for deployment on time Help coordinate the maintenance of onsite assets, including promotional assets & landing pages Assist with fulfillment of promotions and offers as needed Qualifications: Strong project management, organizational skills, and attention to detail Experience with copywriting and email marketing A hunger to be a continuous learner and getting things done in the digital gaming space Hands-on experience with major CRM systems, ESP’s and Push providers like Optimove, Braze, Bloomreach, etc. Familiarity with online gaming and sports is a major advantage Ability to work in a fast-paced environment

The Company: This opportunity is with a top 10 online casino operator by revenue in New Jersey. They operate in a highly regulated iGaming environment and is focused on delivering highly personalized, data-driven player experiences. This success has fueled continued growth and expansion plans to launch in new regulated markets. About the Role: As a Senior BI Analyst you will own the full analytics lifecycle — from raw data in the datalake to executive-ready insights. This is a hands-on role for someone who is equally comfortable querying large datasets in AWS, working within a modern data warehouse, and building Tableau dashboards that are actively used to run the business. You will work closely with the senior leaders and Product, Marketing, Finance, Risk, and Compliance teams to turn complex datasets into actionable insight that directly impacts profitability, customer outcomes, and regulatory confidence. Key Responsibilities: Data Understanding & Sourcing Develop deep understanding of our client's data ecosystem, including transactional, customer, marketing, product, bonus, and risk data Work hands-on with the AWS-based Data Lake and modern Data Warehouse Source, join, and transform data from multiple live and batch data sources Validate data integrity and ensure analytical accuracy across platforms Data Manipulation & Analysis Write efficient SQL to extract, aggregate, and analyze large datasets Build and maintain analytical datasets optimized for reporting and real-time decision-making Perform exploratory analysis to identify trends, anomalies, and opportunities Partner with stakeholders to frame the right analytical questions Reporting & Visualization Design, build, and maintain Tableau dashboards used for live and near real-time business steering Translate complex metrics into clear, decision-oriented visualizations Own core performance dashboards (revenue, unit economics, bonuses, player behavior, risk exposure) Business Partnership Act as a thought partner to senior stakeholders, not just a report builder Proactively surface insights, risks, and opportunities Support forecasting, budgeting, and strategic planning with data-backed analysis Data Quality & Governance Establish consistent metric definitions and documentation Support auditability and regulatory requirements through transparent data logic Qualifications: 5+ years of experience in BI, analytics, or data analysis role Strong SQL skills and experience working with large, complex datasets Hands-on experience with AWS data environments and modern data warehouse architectures Advanced experience with Tableau Strong understanding of data modeling, metric design, and analytical best practices Ability to communicate insights clearly to technical and non-technical audiences Experience in iGaming, gaming, fintech, or other regulated industries Experience with event-level data and real-time or near real-time analytics Exposure to predictive modeling, LTV analysis, or ML-adjacent workflows Comfortable operating in a fast-moving, high-accountability environment