Job Description
Job Role:
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.
RequirementsPreferred Certifications:
Bachelor's or Master's 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 the food and beverage industry is plus.
- Proactive, independent thinker with high energy/positive attitude.
