Remote Data Analyst – Financial Services at Yassir

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.