Yassir is the leading super App for on demand and payment services in the Maghreb region set to changing the way daily services are provided. It currently operates in 26 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (+$43M in funding) by VCs from Silicon Valley, Europe and other parts of the world including Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 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 job
- We are seeking a detail-oriented and analytical Data Analyst to join our Financial Services team.
- The ideal candidate will play a crucial role in interpreting data, analyzing results, and providing insights to support strategic business decisions.
- The position requires a blend of technical expertise, statistical and analytical knowledge, and effective communication skills.
About Your Role:
- Create conceptual, logical, and physical data models to meet the needs of various business processes. Ensure data models are scalable, maintainable, and flexible to meet evolving business requirements.
- Optimize data model performance by analyzing and refining database designs and queries.
- Collaborate with data architects, data engineers, data product team and business analysts to integrate data across different sources.
- Maintain data documentation, including data models, data dictionaries, metadata, and data lineage to ensure clear communication and understanding among stakeholders.
- Develop, implement, and maintain business intelligence solutions to support decision-making processes.
- Work closely with business stakeholders to understand their data needs and translate them into technical requirements for data analysis
- Provide support and guidance to data analysts and other team members on data-related issues.
- Utilize data visualization tools (preferably Looker Studio) to communicate findings effectively to stakeholders to make data-informed decisions.
- Expertise in SQL and experience working with large-scale data sets on cloud platforms such as GCP Big Query and DBT.
- Troubleshoot data issues and conduct root cause analysis when reporting data is in question.
- Excellent presentation and communication skills.
- Proactively identify and contribute with team development initiatives, and supporting junior members
Qualifications:
Minimum qualifications
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
- A minimum experience of 5 years in analytics as a Data Modeler, Data Analyst or similar role in Finance domain
- Language: English ?Fluent), French ?Good to have)
- Required Technical Skills:
- Advance SQL knowledge Looker Studio
- Data Modelling
- Big Query
- Statistical knowledge
- NoSQL ?Preferably MongoDB? DBT or similar tools
- Good to have:
- Certification in data analysis or related fields
- Big Data experience is a big PLUS ?Spark, Dataproc, etc.) Python, including libraries such as Pandas and scikit-learn Knowledge of machine learning techniques and tools.
Method of Application
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