Product Analytics Manager

Bachelor of Technology/Engineering, Bachelor of Arts(Maths, Statistics)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

As a Product Analytics Manager, your daily workload might include:

• Evaluate new product features against key performance indicators (KPIs) such as usage, adoption rates, and customer satisfaction, with heavy reliance on A/B testing.
• Develop dashboards, reports, and visualizations, capturing key product metrics, to communicate findings effectively to stakeholders, including leadership.
• Collaborate with Data Engineering, Product Managers, and Designers to ensure data completeness and efficiency, then implement tracking tools for better visibility and data accessibility.
• Interpret trends and patterns related to user behaviour.
• Support data-driven prioritization of product roadmap initiatives.
• Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
• Understanding of AI and machine learning concepts, with experience in applying these technologies to product analytics.
• Research, ideate, then scope AI features for AML and fraud prevention use cases to be developed in the FOCAL platform.

Minimum Qualifications:

• Bachelor's or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
• At least 5 years experience in leading advanced data science projects or complex analytics projects.
• A minimum of 2 years in developing analytics for Products, particularly creating dashboards that track user behaviour.
• Proficiency in MixPanel, Amplitude, or similar Product Analytics software is required.
• Proficiency and experience in the use of BI software, such as Metabase, Tableau, Mode, or similar software is required.
• Familiarity with statistical analysis methods and A/B testing techniques.
• Proficient in handling and analysing large datasets using SQL and Python.
• Hands-on experience in data extraction, visualisation, analysis, and transformation.
• Expert in building and maintaining advanced ML and statistical models; experience in graph analytics and using graph networks will be advantageous.
• Skilled in utilising databases, data warehousing, data modelling techniques, and feature generation/feature engineering.
• Experience in building fraud detection models, or consulting on fraud detection/fraud prevention systems or AML is a plus.
• Proficiency in English and Arabic languages is required.
• Excellent verbal and written communication skills.
• Excellent problem-solving skills, attention to detail, and adaptability.

You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.