Job Title: BI Developer / Analytics Engineer (Microsoft Stack)

Location: Dubai

Type: Contract - ASAP until May 2026

About the Role

Our client is seeking an experienced BI Developer / Analytics Engineer with strong expertise in the Microsoft data stack to support data and analytics initiatives in a fast-paced retail and e-commerce environment. The successful candidate will transform raw data into meaningful insights, build scalable data models, and deliver impactful dashboards and automations to support strategic and operational decision-making.

Key Responsibilities

• Develop, optimize, and maintain SQL queries and data transformations for reporting across retail and ecommerce functions.
• Design and manage SSAS Tabular Models including relationships, measures, roles, and partitions.
• Build and deploy Power BI dashboards and reports, utilizing DAX and Power Query (M) for advanced analytics (sales, inventory, customer behavior, etc.).
• Create and maintain Power Automate workflows to automate data refreshes, alerts, and operational processes.
• Work closely with business stakeholders to understand requirements and translate them into effective data solutions.
• Ensure high standards of data quality, accuracy, and performance, especially for large and fast-changing retail datasets.
• Monitor and enhance data pipeline performance to ensure reliable and scalable delivery.
• Contribute to continuous improvement of BI platforms, processes, and best practices.
• Prepare and maintain documentation for data models, workflows, and solutions.

Required Skills & Experience

• Minimum 5 years in Business Intelligence or Analytics roles.
• Strong proficiency in SQL (data manipulation, complex queries, performance tuning).
• Hands-on experience building and maintaining SSAS Tabular Models.
• Proven expertise in Power BI (DAX, Power Query, dashboard design).
• Experience with Power Automate for workflow automation.
• Previous experience in retail, ecommerce, or consumer-focused industries preferred.

Preferred / Advantageous Skills

• Experience with SSIS for ETL/data integration.
• Python for data transformation or automation.
• Familiarity with modern workflow orchestration tools (e.g., Prefect, Airflow).
• Understanding of key retail/ecommerce KPIs and analytics use cases.

Soft Skills

• Strong communication skills; able to translate technical work into business language.
• High attention to detail and commitment to data accuracy.
• Proactive, self-driven, and able to work independently as well as collaboratively.
• Problem-solving mindset with the ability to build scalable and maintainable solutions.

Ideal Candidate

Someone who enjoys working with data to solve business problems, can handle fast-moving retail data environments, and is passionate about delivering insights that directly support business growth and customer experience.