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  • 3 weeks ago

jobs description

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: E-commerce Data Analyst

Type:
Full-time

Overview:

As an E-commerce Data Analyst with a focus on Google Analytics and Big Query, you will play a pivotal role in leveraging large-scale data sets to extract valuable insights and drive data-informed decision-making for our ecommerce operations. You will be responsible for analyzing e-commerce data stored in Google Big Query, integrating it with Google Analytics data, and utilizing advanced analytics techniques to optimize website performance, marketing campaigns, and overall business strategies.

Key Responsibilities:

1.Data Extraction and Transformation:
• Extract ecommerce data from Google Analytics and other sources and load it into Google Big Query for analysis.
• Develop and maintain ETL (Extract, Transform, Load) pipelines to cleanse, transform, and structure raw data for analysis and reporting purposes.

2.Advanced Analytics and Modelling:
• 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 behaviour, and other key performance indicators (KPIs) to support strategic decision-making.

3.Query Optimization and Performance Tuning:
• Write and optimize SQL queries in Google Big Query 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.

4.Custom Reporting and Visualization:
• 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.

5.Cross-functional Collaboration:
• Collaborate with cross-functional teams, including marketing, product management, and IT, to understand business requirements and deliver data-driven solutions.
• Partner with data engineers and developers to ensure data integration, governance, and security standards are met within the Big Query environment.

6.Continuous Improvement and Innovation:
• Stay abreast of industry trends, emerging technologies, and best practices in ecommerce analytics and data management.
• Proactively identify opportunities for process improvement, automation, and innovation to enhance the efficiency and effectiveness of ecommerce analytics initiatives.

Qualifications:
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. (Master's degree preferred)
• 3 years of experience in ecommerce analytics, data analysis, or business intelligence, with a strong focus on Google Analytics and Big Query.
• Proficiency in SQL and experience with querying and manipulating large datasets in Google Big Query 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.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable insights and data-driven recommendations.
• Familiarity with machine learning techniques, predictive modeling, and statistical analysis tools/languages (e.g., Python, R) for advanced analytics.
• Excellent communication, collaboration, and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Proven track record of driving business impact through data-driven decision-making and analytics-driven optimizations in an ecommerce environment.
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Kuwait City Kuwait

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