Patrianna

Business Intelligence Analyst

• Turn data into actionable insights that drive our gaming platforms forward
• Build, maintain, and improve dashboards and reports using Looker and Tableau
• Write and optimise SQL queries to extract, transform, and analyse data from multiple sources
• Support the Ops team with regular reporting on transaction volumes, workload trends, and resource allocation
• Monitor key performance indicators (KPIs) across the business and flag deviations proactively
• Collaborate with stakeholders across product, marketing, and finance to understand reporting needs
• Help document data definitions, reporting logic, and best practices

Reporting Analyst

Customer Support

• Handle player inquiries across chat, email, and phone with genuine care and efficiency
• Resolve account, purchase, and technical issues while creating positive experiences
• Work with specialized teams to tackle complex cases and drive improvements
• Document feedback and identify trends that help us build better products
• Meet performance goals while maintaining the human touch that makes us special
• Learn new tools and techniques while mentoring teammates

Customer Support Agent

QA Engineer

• QA tasks estimation
• Planning and risk analysis of QA activities
• Requirements and specifications testing with AI-supported validation
• Test cases, suites and checklists design and review leveraging AI capabilities
• Configuration of test suites runs
• Integration and system testing with intelligent edge case detection
• Bug reporting and test results analysis
• Creation and maintenance of QA artefacts and documentation supported by AI tools
• Handling production incidents, monitoring and troubleshooting with intelligent log analysis
• QA mentoring and training
• Researching in QA tools/technology, including AI-driven solutions
• Automation scope definition, automation tests running and results analysing

Senior Manual QA Engineer

• Design and implement comprehensive automation test suites for web, mobile, and API components
• Validate requirements and transform manual test cases into efficient automated solutions
• Configure and maintain CI/CD pipelines to ensure continuous quality delivery
• Analyze automation results, troubleshoot issues, and provide detailed reporting to stakeholders
• Collaborate on technical standardization and contribute to operational excellence initiatives
• Maintain and extend mobile automation frameworks while supporting backend test coverage

QA Automation Engineer

Analyst

• Partner with developers, product, marketing and data teams on tracking strategy, implementation and quality assurance
• Configure, optimize and audit analytics tools while setting up monitoring alerts to maintain data accuracy
• Guide BI specialists through client-side data complexities for smooth integration
• Build comprehensive reports and dashboards that turn data into actionable insights
• Execute tracking planning and quality control across both web and app environments
• Stay on top of privacy regulations and their impact on our analytics ecosystem

Digital Analyst – Technical

AI Engineer

• Build and maintain APIs that integrate generative AI models with our data platforms for reliable, efficient data flow
• Design AI-powered automation for data processing workflows, extraction, transformation, and insight generation
• Develop prompt strategies, few-shot learning techniques, and RAG pipelines to optimize model outputs
• Collaborate with data and business teams to identify AI opportunities that drive efficiency and better decision-making
• Support data quality and governance standards, ensuring AI outputs are accurate and aligned with best practices
• Maintain clear documentation of AI solutions and integration points for team knowledge sharing

Data Analyst

• Analyze fraud and risk data to identify suspicious patterns and high-risk player behavior across multiple brands
• Monitor and investigate member account activities including registrations, purchases, and redemptions using fraud prevention tools
• Review and optimize existing fraud rulesets, analyzing performance and proposing improvements to strengthen defenses
• Generate detailed suspicious activity and risk management reports for leadership teams
• Support newly onboarded clients in setting up their fraud rule engines and scoring systems
• Stay current with fraud prevention trends and implement innovative testing approaches to stay ahead of threats

Fraud Data Analyst

• Guide product team members through complex data landscapes, providing valuable insights that support critical decision-making
• Conduct deep-dive analyses of user behavior, app performance, and product features to boost player acquisition, engagement, and retention
• Ensure top-tier behavioral data collection by collaborating with analytics developers on tracking implementation and issue resolution
• Develop and maintain dashboards, reports, and alerting systems for real-time monitoring of key conversion metrics
• Present insights clearly and effectively to stakeholders across the organization
• Debug data issues and optimize tracking mechanisms to maintain data integrity

Digital Analyst – Product

Data Scientist

• Lead and build a new analytics team that drives product growth through data-driven insights and AI-powered analysis.
• Define and execute the analytics roadmap, guiding proactive analyses to uncover growth opportunities.
• Build and mentor a high-performing team of analysts, establishing excellence in SQL, visualization, and statistical methods.
• Champion AI integration to optimize analytical workflows and unlock deeper product insights.
• Partner closely with Product Managers as their primary data ally, translating complex findings into clear, actionable recommendations.
• Collaborate with data engineers and implementation specialists to prioritize tracking, define schemas, and guide data modeling.
• Enable broader analytics teams through training on behavioral data usage, querying best practices, and dataset documentation.

Product Analytics Team Lead

Engineering Manager

• Own delivery outcomes for 1-2 teams (6-15 engineers), ensuring reliable delivery while tracking progress and surfacing risks early
• Manage people and career development through 1-on-1s, performance reviews, and day-to-day team leadership with guidance from senior leaders
• Maintain strong engineering standards across backend, frontend, mobile, and QA teams while ensuring quality and architectural consistency
• Stay technically hands-on (~30%), contributing to code, reviewing pull requests, and maintaining technical credibility within your teams
• Enable smooth team execution by working closely with Team Leads and Product Managers to define clear work and remove blockers
• Support system reliability by helping teams investigate incidents, understand root causes, and continuously improve platform stability

Associate Engineering Manager

Middle QA Engineer – Manual

IT Support

• Provide technical support to internal employees via remote tools, chat, and email
• Diagnose and resolve hardware, software, and network-related issues across all platforms
• Manage tickets and prioritize requests to ensure timely response and resolution
• Set up, configure, and troubleshoot laptops and mobile devices for team members
• Perform regular maintenance, updates, and software installations on employee devices
• Document solutions and build our knowledge base to help the team learn and grow

Reporting Analyst

Customer Support Agent

Senior Manual QA Engineer

QA Automation Engineer

Digital Analyst – Technical

AI Engineer

Fraud Data Analyst

Digital Analyst – Product

Product Analytics Team Lead

Product Analytics Team Lead

Associate Engineering Manager

Middle QA Engineer – Manual

Helpdesk Support Specialist, L2