Website Analytics Engineer

Join the Team at ABYAT - Your Gateway to Retail Excellence! About us Are you ready to be part of the largest retail store in the Middle East? ABYAT , spanning an impressive 22,000 square meters and offering over 22,000 products, is your one-stop destination for all things home improvement and more. From elegant tiles and captivating wallpapers to state-of-the-art lighting solutions and stylish kitchen fixtures, we pride ourselves on offering a diverse array of top-quality products under one roof. Established locally with a vision for excellence, ABYAT has been setting benchmarks since its inception in September 2005. With an unwavering focus on our customers, we've crafted an experience that revolves around their needs, from our meticulously designed store layouts to our unparalleled service offerings. Expanding beyond our roots in Kuwait, ABYAT is now making waves in Saudi Arabia and setting our sights on Qatar and the UAE. As we continue to grow, we're seeking passionate individuals to join our dynamic team and contribute to our journey of success. Position : Website Analytics Engineer Location : Kuwait – Head Office Type : Full-time As a Website Analytics Engineer at ABYAT , you'll play a pivotal role in leveraging largescale data sets to extract valuable insights and drive data-informed decision-making for our ecommerce operations. To be responsible for analyzing ecommerce data stored in Google BigQuery, integrating it with Google Analytics data, and utilizing advanced analytics techniques to optimize website performance, marketing campaigns, and overall business strategies. Key Responsibilities:

• Extract ecommerce data from Google Analytics and other sources and load it into Google BigQuery for analysis.
• Develop and maintain ETL (Extract, Transform, Load) pipelines to cleanse, transform, and structure raw data for analysis and reporting purposes.
• Apply advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze ecommerce data and identify actionable insights.
• Build predictive models for forecasting sales, customer behavior, and other key performance indicators (KPIs) to support strategic decision-making.
• Write and optimize SQL queries in Google BigQuery to efficiently retrieve and manipulate large-scale datasets.
• Implement best practices for query performance tuning, partitioning, and clustering to maximize query speed and minimize cost.
• Create custom reports, dashboards, and visualizations using tools such as Google Data Studio, Tableau, or Looker to communicate insights and KPIs to stakeholders.
• Design interactive dashboards with drill-down capabilities to enable self-service exploration of ecommerce data.

• Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
• 3 years of experience in ecommerce analytics, data analysis, or business intelligence, with a strong focus on Google Analytics and BigQuery.
• Familiarity with machine learning techniques, predictive modeling, and statistical analysis tools/languages (e.g., Python, R) for advanced analytics.
• Proficiency in SQL and experience with querying and manipulating large datasets in Google BigQuery or similar cloud-based data warehouses.
• Hands-on experience with data visualization tools such as Google Data Studio, Tableau, or Looker for creating interactive dashboards and reports.