Role Purpose
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 modelling 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 Academic Prerequisites:
● Bachelor's or Master's in Statistics, Mathematics, Computer Science, or a related field.
Requirements:
● Over 4 years of experience with statistical software and programming languages including R, Python, and SQL.
● Expertise in managing and analyzing large, complex datasets.
● Experience with ETL tools, specifically Airflow is a plus.
Extensive experience (4+ years) with data visualization tools, including Tableau and Power BI, with a proven ability to create insightful dashboards.
● Skilled in translating complex data into actionable insights for non-technical stakeholders through clear communication and presentations.
● Solid understanding of data modeling concepts.
● Familiarity with machine learning techniques is a plus.
● Working knowledge of Alteryx is an advantage.
● Experience within the food and beverage industry is a plus.
● Proactive, independent, and results-oriented with a positive attitude and high energy.