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Data Analyst

Quant Riyadh, Saudi Arabia Posted: 13 Jun 2024


  • Salary unspecified
  • Zero income tax location


  • Office Only
  • Visa Provided


  • Experience: Senior
  • English: Professional


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.
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About Quant

In an age of Big Data, Internet of Things (IoT) and the Industrial Revolution 4.0; the nearly infinite and extravagant availability of information presents unlimited opportunities for aspiring businesses and dynamic governments. Understanding and generating insights from this information demands more than just looking at numbers. With Quant, it’s about data meeting science. Our goal is to empower organizations in the decision-making process and to optimize their business intelligence. At Quant, we exult in being regarded among the most dynamic, agile and results-oriented companies in the local Data Science Community, while competing with international standards. Combining a diligent and passionate team of data scientists, actuaries, statisticians, big data engineers, and software engineers holding decades'​ worth in years of experience, blended with a multi-sector domain knowledge; Quant can be your trusted and reliable analytics solutions developer and implementation partner, delivering holistic impact upon request.