Qureos Mentor

AppliedAI

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 Role Overview
 
 
 
 
 
 
 The Marketing Analytics Lead will be responsible for leading the strategy, development, and
 
 
 execution of marketing analytics initiatives across AppliedAI. You will partner with cross-functional teams (Marketing, Product, Growth, Data Science, and Leadership) to define KPIs, build advanced models, and provide actionable insights that shape acquisition, retention, and engagement strategies. This is both a hands-on and strategic leadership role, requiring strong technical skills and the ability to influence stakeholders.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 Analytics Leadership
 
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 Define and oversee the marketing analytics roadmap to support business growth.
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 Lead a small but high-impact team of analysts and data scientists.
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 Champion a data-driven decision-making culture within the marketing organization.
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 Performance Optimization
 
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 Develop and operationalize predictive models (e.g., churn, lookalike, LTV) to drive acquisition and retention.
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 Conduct marketing mix modeling and media spend optimization to maximize ROI.
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 Partner with campaign managers to run A/B testing and experimental frameworks.
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 Insights &amp; Reporting
 
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 Build dashboards and executive reports tracking CAC, CTR, ROI, retention, and engagement KPIs.
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 Translate complex data into actionable insights and storytelling for senior leadership.
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 Guide customer segmentation strategies and targeted communications.
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 Cross-functional Collaboration
 
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 Work closely with Product, Loyalty, and Growth teams to align analytics with company goals.
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 Ensure analytics solutions are integrated into business workflows for real impact.
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 Qualifications
 
 
 
 
 
 
 
 Experience:
 
 6&ndash;10 years of progressive experience in marketing analytics, data science, or
 
 
 business intelligence, preferably in fast-growing technology, SaaS, or e-commerce
 
 
 environments.
 
 
 
 
 
 
 Technical Skills:
 
 
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 Proficiency in SQL, Python, and statistical modeling.
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 Hands-on experience with tools such as Power BI, Data Studio, Mixpanel, GA4,
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 Appsflyer, and Dataiku.
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 Familiarity with predictive modeling, churn analysis, cohort analysis, and marketing mix modeling.
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 Business Acumen:
 
 Strong understanding of digital and offline marketing channels,
 
 
 campaign optimization, and customer lifecycle strategies.
 
 
 
 
 
 
 Leadership:
 
 Demonstrated ability to mentor and lead analytics professionals.
 
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, Statistics, or related field
 
 
 (Master&rsquo;s degree preferred).
 
 
 
 
 
 
 Preferred Attributes
 
 
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 Strong communication and data storytelling skills for influencing stakeholders.
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 Experience with big data platforms (GCP, AWS, Azure, Hadoop).
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 Knowledge of prescriptive and generative AI/LLM applications in marketing analytics.
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 Certified in GA4, Mixpanel, or equivalent advanced analytics platforms.
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 What We Offer
 
 
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 Opportunity to shape the marketing analytics strategy at a leading AI company.
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 Exposure to cutting-edge AI/ML applications in real-world business contexts.
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 Collaborative, innovative, and growth-driven work environment.
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 Competitive compensation, benefits, and career advancement opportunities.
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Data & Insights Lead

<div>
 
 
 About Us:
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services. We are seeking a skilled and dynamic Frontend Developer to join our team and help shape intuitive, powerful user experiences on our Opus platform.
 
 
 
 
 
 
 Position Overview:
 
 
 
 As a Full Stack / Backend Engineer, you will be responsible for designing and developing server-side logic, APIs, and backend systems using TypeScript, Node.js (NestJS), and Next.js. You will work closely with frontend developers, product managers, and data scientists to build scalable, secure, and maintainable software powering mission-critical workflows.
 
 
 
 
 
 The ideal candidate is passionate about clean architecture, performance, and backend scalability, with experience in full stack environments and a solid understanding of modern software practices.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Backend &amp; Full Stack Development
 
 
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 Build robust, secure APIs and backend services using NestJS and Node.js.
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 Develop full stack features using TypeScript across both backend and frontend (Next.js).
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 Architect and maintain scalable RESTful and GraphQL services.
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 Work with databases (PostgreSQL, MongoDB) and caching layers (Redis).
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 Optimize system performance and reliability.
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 Code Quality &amp; Architecture
 
 
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 Write clean, maintainable, and well-documented code.
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 Implement unit, integration, and end-to-end tests to ensure code quality.
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 Participate in code reviews and maintain coding standards.
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 Follow SOLID principles, domain-driven design, and modular architecture practices.
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 Refactor legacy systems and contribute to backend modernization efforts.
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 Collaboration &amp; DevOps
 
 
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 Work closely with frontend, DevOps, and ML teams to ship features end-to-end.
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 Contribute to CI/CD pipelines and deployment automation.
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 Ensure observability and traceability through proper logging and monitoring.
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 Proactively communicate challenges and work collaboratively to resolve them.
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 Continuous Learning &amp; Innovation
 
 
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 Stay up to date with backend, infrastructure, and DevOps best practices.
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 Explore emerging technologies and propose improvements.
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 Take ownership of assigned features and see them through production deployment.
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 Mentor junior engineers and share knowledge across the team.
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 Qualifications:
 
 
 
 
 Education:
 
 
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 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.
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 Experience:
 
 
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 2&ndash;5 years of experience in backend or full stack development using TypeScript and Node.js.
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 Skills:
 
 
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 Proficient in TypeScript and Node.js, with experience in NestJS and Next.js.
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 Experience with SQL (PostgreSQL) and NoSQL (MongoDB, Redis) databases.
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 Knowledge of API design (REST, GraphQL) and best practices.
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 Familiar with authentication (OAuth2, JWT), RBAC, and session management.
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 Comfortable with Git, Docker, and CI/CD tools.
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 Experience with unit/integration testing using Jest or similar frameworks.
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 Exposure to AWS/GCP, Kubernetes, or container orchestration is a plus.
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 Strong debugging and problem-solving skills.
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 Comfortable working in a fast-paced agile environment.
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 Benefits:
 
 
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 Opportunity to work with a leading AI technology company.
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 Collaborative and innovative work environment.
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 Growing, entrepreneurial and forward-thinking culture.
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 Career growth and professional development opportunities.
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 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
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 21 days of paid annual leave.
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 Comprehensive private health insurance.
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 Visa sponsorship for international candidates.
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</div>

Back End Engineer

Join AppliedAI and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

AppliedAI

ABOUT_COMPANY

Data & Insights Lead

Back End Engineer