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Full Details of Job Post
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
ABOUT THE ROLE
As a product data analyst at Yassir, working in the Data and AI team, you will have the opportunity to do life-changing work for Yassir’s millions of customers. You will apply groundbreaking analytics that will shape the super-app strategy of Yassir and support the growth and success of all the services Yassir is currently offering across 45 cities in 7 countries.
RESPONSIBILITIES
You will work on different products, including ML/AI products, front-end products and backend systems, and will apply your data analysis skills, your analytical thinking and product intuition to create a marketplace of on-demand services.
You will work cross-functionally with partners across Product, Engineering, Research, Marketing, etc. to identify and solve the most important business and product problems for Yassir.
You are a data ambassador and foster a data-driven product development culture.
Product: You will influence product strategy and execution. You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to all parties in our marketplace. You will help your partner teams prioritize what to build, set goals, track progress and understand their product’s ecosystem.
Analytics: You will work with Engineering on collecting the right data to enable data driven decisions at Yassir. You will guide teams using data and insights. You will focus on developing hypotheses for where product opportunities are and will develop and use a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them, building a continuous test-and-learn environment.
Communication and influence: You will tell data-driven stories. You will influence your partners using insights and recommendations and move your organization to being truly and solely data-driven.
REQUIREMENTS
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum experience of 5 years in analytics in a business or product environment.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
BENEFITS
Great compensation and bonuses including stock options.Blue sky opportunity with the team; shape the strategic direction of the companySharp, motivated co-workers in a fun hybrid environmentPaid company holidays
WHY YOU SHOULD JOIN YASSIR
Join one of the fastest-growing tech companies in Africa
Have a lasting impact on our company's culture
Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans
Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent.
We are the first Algerian startup to go through Y Combinator program and we’re backed by top investors including Unpopular Ventures, Rebel Fund and DainTree.VC
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.