In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, Quant is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. At Quant, we empower aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.

As a Data Analyst with Quant, you will be responsible for creating meaning from data sets by transforming data into readable, goal-driven reports to assist in continuous innovation and growth. This requires a detail-oriented individual with solid exposure to mathematical and statistical principles and a deep understanding of popular data analysis tools and databases.

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 behaviors, 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 an 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 Preferred Certifications: 

• Bachelors or Masters in Statistics, Mathematics, Computer Science, or a related field.

Preferred Personal Qualities:

• +6 years of experience in data analysis, demonstrating a track record of impactful insights and business outcomes. 
• High skills in data cleaning and preprocessing 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 modelling concepts. 
• Good knowledge of NLP and machine learning is a plus. 
• Experience in food and beverage industry is plus. 
• Proactive, independent thinker with high energy/positive attitude.