Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science. Headquartered in Riyadh, Saudi Arabia, Mozn is dedicated to realizing Vision 2030 and boasts a proven track record in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. We are a trusted AI technology partner for large government organizations and numerous corporations and startups. As we scale to provide AI-powered products and solutions both locally and globally, this is an exciting time to work in the field of AI and create a long-lasting impact.
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As a Product Analytics Manager, your daily responsibilities may include:
- Evaluating new product features against key performance indicators (KPIs) such as usage, adoption rates, and customer satisfaction, utilizing A/B testing.
- Developing dashboards, reports, and visualizations to communicate findings effectively to stakeholders, including leadership.
- Collaborating with Data Engineering, Product Managers, and Designers to ensure data completeness and implement tracking tools for better visibility and accessibility.
- Interpreting trends related to user behavior and supporting data-driven prioritization of product roadmap initiatives.
- Keeping up-to-date with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
- Researching and scoping AI features for use cases in AML and fraud prevention to be developed in the FOCAL platform.
Requirements:
- Bachelor's or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
- At least 5 years of experience in leading advanced data science or complex analytics projects.
- Minimum of 2 years of experience developing analytics for products, specifically creating dashboards to track user behavior.
- Proficiency in Product Analytics software such as MixPanel or Amplitude.
- Experience in BI software (e.g., Metabase, Tableau, Mode).
- Familiarity with statistical analysis methods and A/B testing techniques.
- Proficient in SQL and Python for handling and analyzing large datasets.
- Hands-on experience in data extraction, visualization, analysis, and transformation.
- Expertise in building and maintaining ML and statistical models; experience in graph analytics is advantageous.
- Experience in building fraud detection models or consulting on fraud detection/AML systems is a plus.
- Proficiency in English and Arabic is required.
- Excellent verbal and written communication skills.
- Strong problem-solving skills, attention to detail, and adaptability.
Work Conditions:
- Full-time position.
- On-site work in Riyadh, Saudi Arabia.
Benefits:
- Competitive compensation and top-tier health insurance.
- Opportunity to join a high-growth company in an exciting space.
- A dynamic workplace with a culture that empowers individuals to excel.
