Job Purpose
The Data Analyst is responsible for developing and implementing advanced machine learning-based tools and processes tailored to the needs of the SABIS® Network and its affiliated schools, as well as conducting comprehensive statistical analyses to drive actionable insights that support data-driven decision-making.
Key Responsibilities:
- Applying data mining techniques, elaborating statistical analysis, and building prediction systems integrated within SABIS® products
- Gathering, cleaning, and visualizing information from various sources and analyzing it to achieve a better understanding of the business’ performance and how to build tools that automate certain processes within the business
- Creating dashboards to monitor the company’s performance and results and presenting data insights to non-technical stakeholders
- Compiling reports and presenting findings to senior analysts or management
- Using statistical tools and software (e.g., Excel, SQL, Python, R) to analyze and interpret data
- Selecting and applying machine learning algorithms and techniques for different types of business needs (optimization, classification, clustering, prediction, hypothesis testing, anomaly detection, etc.)
- Enhancing current products and systems by analyzing the product’s use and discovering the information hidden in its data
- Selecting features and building and optimizing classifiers using machine learning techniques
- Enhancing data collection procedures to include information that is relevant to building analytic systems
- Mining and analyzing data from company databases to discover insights, identify business opportunities, and optimize and improve product development, marketing techniques, and business strategies
- Using machine learning algorithms to analyze large amounts of information to discover trends and patterns, propose optimized alternatives, classify and cluster data, detect anomalies, develop prediction models, and perform hypothesis analysis
- Working with data warehousing engineering in order to clean and filter data and review reports, dashboards, and KPIs for the purpose of enabling the location and correction of issues within the business
- Performing other related tasks as they arise and as delegated by the Management
Ideal Requirements:
- Bachelor’s degree in computer science, Business Computing, or Computer Engineering
- Master’s degree in mathematics, Data Science, or their equivalent is a plus
- English and Arabic Proficient
- A minimum of 1 to 3 years of experience in a relevant field
- Data Science, Machine Learning, Deep Learning, Big Data, Analytics certificates, or their equivalent
- Professional behavior and ethical conduct
- Delivering results
- Continuous learning and improvement
- Accountability and taking ownership
- Attention to detail and accuracy
- Strong interpersonal and communication skills
- Ability to work collaboratively with regional and cross-functional teams
- Analytical and problem-solving abilities
- Proficiency in programming languages like Python, R, and SQL
- Familiarity with the use of data visualization tools
- Strong understanding of statistical methods and concepts
