Title: Casino Product & Integrity Analyst Location: Remote Asia Job Description: BettingJobs is thrilled to collaborate with our client, a prominent online bookmaker known for transforming the sports betting and gaming industry, in their search for a Casino Product & Integrity Analyst to join their team based remotely in Asia. Responsibilities: - Review large wins and withdrawals to identify unusual gameplay patterns, potential abuse, or coordinated betting behaviour - Analyse gameplay behaviour and betting patterns to detect anomalies, opposite betting, and fraud indicators - Monitor bonus usage and identify bonus abuse patterns, supporting optimization of promotional mechanics and bonus structures - Analyse casino game performance and trends, including RTP deviations, volatility patterns, and player engagement behaviour - Investigate vendor escalation cases by reviewing gameplay data and identifying suspicious activity patterns - Work with casino vendors on escalations and gameplay feedback, providing insights on suspicious patterns, game behaviour, and potential configuration improvements. - Analyse affiliate traffic behaviour to detect coordinated activity or unusual behavioural clusters - Produce regular reports on gameplay trends, abuse patterns, and risk indicators to support decision-making across teams - Provide product and operational improvement recommendations based on gameplay data, player behaviour insights, and bonus performance - Suggest operational improvements and monitoring processes to strengthen detection capabilities and support automation - Leads and supports projects related to product and process improvements as delegated by the Head of Casino, while providing cross-functional support to Casino Experts to ensure the successful execution of operational tasks. Requirements: - Minimum 2 years' experience in the online gaming industry - Strong analytical and investigative skills with the ability to identify behavioural patterns and anomalies in large datasets - Understanding of online casino gameplay mechanics, betting patterns, and bonus structures - Experience analysing player behaviour and product performance to generate actionable insights - Ability to detect fraud indicators and abusive patterns, including bonus abuse, coordinated gameplay, or unusual betting activity - Data analysis capability (Excel/SQL or similar analytical tools) to investigate trends and produce structured reports - Strong attention to detail and problem-solving skills in reviewing complex gameplay and transaction data - Ability to translate analytical findings into product or operational recommendations - Effective communication and stakeholder collaboration skills, working with product teams, risk teams, and external vendors

• Own the metrics and analytical direction for your product area, working directly with Product Directors to influence strategy and roadmap priorities • Drive real decisions: what we build, what we kill, and where we invest next • Define what success looks like, build the frameworks to measure it, and back every major decision with solid analysis • Work with a talented team of analysts, researchers, product managers, designers, and engineers

Location Our Product Operations Analyst - Product Analytics will be an integral part of our Global Product Management team. This role is based remotely in the East US, the UK, Ireland, Sweden, the Netherlands, Estonia and Israel. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We’re hiring a Product Operations Analyst to strengthen how R&D decisions are made at DoiT and to help drive our AI transformation across the organization. This role is built for someone who cares deeply about business results, not just the data itself. You care about the customers we serve and use AI tools, data, and voice of the customer systems as tools to improve how we discover, define, build, mature, and iterate our products. You’ll operate at the intersection of product, data, AI, and customer insight helping build and maintain the measurement and analytics foundations that ensure our product investments are grounded in reliable signals and real customer needs. Reporting to the Head of Product Operations and part of the Product and R&D organization, this is a high-impact individual contributor role suited for someone with strong data, analytics, and AI experience who enjoys building scalable processes and working cross-functionally. As DoiT’s product portfolio grows, clear measurement and structured customer insight become increasingly important. This role helps ensure that product decisions are informed, measurable, and aligned with business outcomes, enabling the team to build with greater confidence and focus. Responsibilities 1) Product Measurement & Instrumentation Support and evolve the framework and systems that turn product behavior into trusted, actionable signals: - Partner with Engineering to define and maintain event taxonomy, tracking standards, and instrumentation quality - Build and maintain scalable, self-service dashboards for product teams - Help establish and document clear metric definitions as a shared source of truth. - Contribute to improving how and what we measure as the product evolves. - Leverage AI to repeatedly unlock insights and recommendations from these signals Outcome: Product teams have reliable data to evaluate performance and make informed decisions. 2) Analytics & Data Foundations Strengthen the product analytics ecosystem and data models that power decision-making. - Work within our product analytics stack (e.g., Mixpanel, Segment, Looker) to ensure accurate and accessible reporting. - Build and maintain dbt models for core product entities and behaviors. - Contribute to a clean, usable metric layer for business stakeholders. - Help structure and analyze Voice of the Customer inputs (e.g., support, churn, NPS, sales feedback, customer interviews) - Support data quality through testing, monitoring, documentation, and automation - Deploy the best AI tooling available to make our data a differentiator Outcome: Product data is systematically consistent, accessible, and trusted. 3) Insight Generation & Reporting Translate product usage and customer signals into clear, actionable insights. - Deliver recurring product analytics reporting (adoption, engagement, retention) - Contribute to analytics readouts to business stakeholders and executives with clear findings and recommendations - Perform analyses that connect product behavior to revenue and retention outcomes - Support automated reporting and AI-assisted workflows while maintaining metric integrity - Strive to make insights and reporting automated and self-service, heavily assisted through best practices with emerging AI techniques Outcome: Product and business stakeholders regularly use analytics and customer insights to inform roadmap and investment decisions. Qualifications - 5+ years of experience in product analytics or related roles. Experience working closely with digital product teams and influencing decisions through data. AI-First mentality. Must have a practical understanding of how AI is reshaping analytics workflows. The ideal candidate will have experience using AI to accelerate insight generation, documentation, and distribution while understanding how to build guardrails, trust, and safe operationalization of AI. - Systems thinker & operator's mindset. Track record of building systems that scale across many groups. - A “Builder” mindset. We have bold ambition, and we move fast. Whether we’re missing processes, systems, tools, data, or buy-in, your instinct must be to create, solve, and build paths that may not exist today. - Comfort operating in ambiguity. Ability to prioritize, structure problems, and execute independently while collaborating across teams. Clear communicator. Experience presenting analysis to product managers and business stakeholders, translating complex findings into actionable recommendations.Strong analytical foundation. Advanced SQL required. Experience with event-based analytics and familiarity with tools such as Mixpanel (or similar), Looker (or similar BI tools), Segment (or similar), and dbt. Domain familiarity (preferred). Exposure to public cloud environments (AWS, GCP, Azure), FinOps/cloud cost management, and enterprise SaaS company concepts is preferred. How success will be measured - Product teams rely on analytics to evaluate feature performance and guide roadmap decisions - Core product metrics are clearly defined, trusted, and consistently used - Product insights contribute to improvements in adoption, engagement, and retention - Voice of the Customer signals are organized and incorporated into feedback loops - Data is readily accessible, well-documented, and clear, enabling efficient decision-making - Analytics and insights are available quickly and require less manual effort - AI is being used across our product operating model to incorporate signals into every decision across Product, Design, and Engineering - AI-driven insights are systematically integrated to inform and optimize critical decision-making throughout every phase of our product lifecycle, from initial concept to post-launch iteration. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: - Unlimited Vacation - Flexible Working Options - Health Insurance - Parental Leave - Employee Stock Option Plan - Home Office Allowance - Professional Development Stipend - Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

The Product Owner Data & Analytics is the bridge between business stakeholders and technical teams and actively maintains relationships with key business partners to identify analytics opportunities, develop product vision, strategy, roadmaps, user stories, backlogs and data best practices for the Multi-Color Analytics Platform (MAP). This role is responsible for ensuring that Multi-Color achieves maximum value out of their investments in Snowflake and Power BI. Responsible for building relationships with key leaders and power users across functions including Finance, Commercial, and Operations to refine and implement analytics solutions, champion best practices, and drive adoption. This is a remote opportunity. Responsibilities: • Collaborate with key stakeholders to define business objectives, maintain product roadmaps and develop and prioritize backlog. • Define and manage the lifecycle of data products. • Champion data quality, lineage, and compliance standards. • Guide and assist internal and vendor development teams. • Conduct knowledge transfer and training of end-users, including sharing best practices. • Partner with power users to develop and monitor usage metrics and drive adoption. • Actively participate in the development of increasing data and analytics maturity. • Actively participate in Agile ceremonies. • Assist in managing platform and delivery vendors. Stay current with platform innovations and actively seek opportunities to adopt new features. • Model the Corporate Values (Integrity, Passion, Creativity, Perseverance and Achievement) and Principles Qualifications: • 10 years experience in development of data and analytics, preferably as requirements analyst, product owner or product manager. Experience with enterprise data warehouse development. • Demonstrated strong analysis skills. • Dynamic communication skills. • Passion for product management and product delivery. Ability to inspire senior leaders, key stakeholders and power users on data and analytics product vision. • Strong relationship building and collaboration skills. • Experience with modern data and analytics platforms, preferably Snowflake, Matillion and PowerBI. • Global Manufacturing or print industry experience. • University degree, preferably in Computer Science. #LI-ML1 #appcast For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world’s most iconic and recognizable brands. Our labels elevate emotional connections with consumers and help brands stand out in competitive markets. Honoring our rich history as a market leader, we focus on the future by developing sustainable packaging solutions and consumer-driven innovations. MCC combines global reach with the personalized touch of local service through our network of facilities across 25+ countries. More than 12,000 teammates come together to make our industry-leading work possible and bring our True Colors to life. Join us at MCC, where every product is Labeled with Care. Learn more at www.mcclabel.com. If you need assistance or an accommodation in applying, please contact our Human Resources Department at recruiting@mcclabel.com. Multi-Color is committed to providing equal employment opportunities and prohibits discrimination based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.