Sr. Data Analyst

Company Description Mona Trading LLC, founded in 1973, has grown from a regional company into a reputable large enterprise serving the manufacturing, industrial, oil & gas, and construction sectors across a broad region. The company is recognized for introducing innovative technologies, delivering optimal quality, and providing comprehensive services to its clients. Mona Trading places strong emphasis on ethical business principles and building long-term relationships based on mutual trust. Its diverse client and supplier base reflects a stable, growth-oriented environment for professionals seeking impactful work and career development.Role Description The Sr. Data Analyst role at Mona Trading LLC is a full-time, hybrid position based in Cairo, Egypt, with flexibility for partial work from home. The Sr. Data Analyst will collect, clean, and validate large datasets from multiple business systems, ensuring data accuracy and consistency. This role will analyze operational, financial, and commercial data to identify trends, measure performance, and generate actionable insights for leadership. The Sr. Data Analyst will build reports, dashboards, and data visualizations, prepare regular and ad hoc analytics for stakeholders, and support strategic decision-making. Daily responsibilities also include collaborating with cross-functional teams to understand data needs, improving data processes, and documenting methodologies, assumptions, and data definitions.Qualifications Strong analytical and quantitative skills with experience in data analysis, data validation, and reporting.Proficiency in data tools such as Excel, SQL, and at least one BI or visualization platform (e.g., Power BI, Tableau, or similar).Ability to design and maintain dashboards and performance metrics for operational, financial, and commercial functions.Solid understanding of data modeling, basic statistics, and business intelligence concepts.Excellent written and verbal communication skills, including the ability to present complex findings to non-technical stakeholders.Experience collaborating with cross-functional teams and translating business requirements into analytical solutions.Demonstrated attention to detail, time management, and organizational skills in a fast-paced environment.Bachelor’s degree in Data Science, Statistics, Engineering, Business, Computer Science, or a related field; advanced degree or relevant certifications are a plus.Previous experience in industrial, manufacturing, oil & gas, or construction sectors is advantageous.Comfort working in a hybrid model, with the ability to coordinate effectively both onsite and remotely.