Data Analyst

Role Purpose: Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.

Job Responsibilities:

• Collaborate with cross-functional teams, including marketing, sales, product development, and operations, to provide data-driven insights and recommendations.
• Developed and implemented advanced analytics for different areas in the industry, such as forecast demand, customer behavior, and in-depth sales analysis.
• Develop and maintain dashboards and reports that visualize complex datasets in a comprehensible way for stakeholders.
• Communicate findings and insights from the data to non-technical team members and stakeholders through clear and concise reports or presentations.
• Apply data modeling techniques to predict future trends from historical data.
• Lead A/B testing and other experimental designs to deliver added value to the end user.
• Stay abreast of industry trends and competitive landscape to ensure our strategies are ahead of the curve.
• Ensure the integrity and accuracy of data through rigorous quality control and validation processes.

Requirements: Academic Prerequisites: Bachelor's or Master's in Statistics, Mathematics, Computer Science, or a related field. Preferred Qualities:

• 4 years of experience in data analysis, demonstrating a track record of impactful insights and business outcomes.
• High skills in data cleaning and pre-processing techniques and data formatting.
• Exceptional analytical and quantitative problem-solving skills.
• Proficiency in statistical software and programming languages such as R, Python, and SQL, with a minimum of 6 years in the field.
• Ability to deal with larger and more complex datasets.
• Experience with data visualization tools (e.g., Tableau, Power BI) with a minimum of 6 years in the field.
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
• Good knowledge of modeling concepts.
• Good knowledge of NLP and machine learning is a plus.
• Experience in the food and beverage industry is a plus.
• Proactive, independent thinker with high energy/positive attitude.