Data Analyst

توظيف الجمل الوردي; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology firm based in Dubai is seeking a skilled Business Data Analyst for the Visual Display team. This role focuses on driving data-led strategies and providing actionable insights to enhance product performance and operational efficiency. Candidates should have a degree in Business Analytics or a related field and several years of relevant experience. Proficiency in Excel, Power BI, and SQL is essential. Competitive salary of 22,000 AED/month offered.

Qualifications

• 5-7 years of relevant experience in data analytics.
• Knowledge of the visual display market is desirable.
• Strong analytical and problem-solving skills.

Responsibilities

• Collect, clean, transform, and validate large data sets.
• Develop and maintain Power BI dashboards and reports.
• Write and optimise SQL queries for data extraction.
• Collaborate with teams to deliver actionable insights.
• Ensure data integrity, quality, and accuracy.

Skills

Advanced Excel

Power BI

SQL

Basic Python

DAX formula writing

Data analysis

Communication skills

Automation Tools Familiarity

Problem-solving skills

Education

Bachelor’s degree in Business Analytics, Statistics, Economics, or Computer Science

Tools

Power Query

Job description

We are looking for a Business Data Analyst - Visual Display for a Global Technology & Consumer Electronics Leader based in Dubai.

Location – Dubai, UAE

Salary – 22,000 AED/month

Qualifications & Experience:

• Bachelor’s degree in Business Analytics, Statistics, Economics, Computer Science, or a related field.
• 5-7 years of relevant experience in data analytics
• Knowledge of the visual display market (TVs, monitors, digital signage, etc.) is highly desirable.
• Advanced Excel (formulas, pivot tables, charts, conditional formatting, data validation)
• Power Query (data shaping, merging, appending, transformations)
• Power BI (dashboard/report building, DAX, data modelling)
• DAX formula writing (measures, calculated columns, KPIs)
• SQL (select, joins, subqueries, aggregations)
• Basic Python (data manipulation with Pandas, simple automations)
• Familiarity with Automation Tools (Power Automate, VBA, or similar)
• Strong analytical and problem-solving skills
• Good communication skills to present data-driven insights. Excellent communication skills, with the ability to translate complex data into actionable insights.
• Self-starter being able to work under minimal supervision
• Good team player, well presented, professional, and dedicated

Key Responsibilities:

• Collect, clean, transform, and validate large data sets from multiple sources.
• Develop and maintain Power BI dashboards and reports to support business decision-making.
• Create and optimise DAX formulas for complex data modelling and calculations in Power BI.
• Design and execute ETL processes using Power Query in Excel and Power BI for efficient data transformation.
• Perform advanced Excel analysis, including pivot tables, complex formulas, conditional formatting, and data visualisation.
• Write and optimise SQL queries for data extraction, manipulation, and analysis from relational databases.
• Apply basic Python scripts (e.g., Pandas, NumPy) for data pre-processing, automation, or analysis tasks when necessary.
• Implement process automation solutions using tools such as Power Automate, VBA, or Python to reduce manual data handling and reporting efforts.
• Collaborate with cross-functional teams to gather requirements and deliver actionable data insights.
• Ensure data integrity, quality, and accuracy across reports and analyses.
• Analyse store sales data engagement to identify low-performing KPIs (Key Performance Index) of the retailers and participate in the proposal of collaboration with retailers.
• Carry out retail mapping to select the stores with the highest growth potential with retailers to achieve the maximum return on investment.
• SKU (Stock Keeping Unit) optimisation & analysis to determine the most suitable products to display in stores based on retail mapping and the sales characteristics of each store.
• Market share analysis, based on product & SKU - City based
• Responsible for ensuring data is translated into relevant interpretations and recommendations for business teams across the organisation through the development and maintenance of key KPI metric dashboards
• Create channel/customer profiles and segmentations, enabling teams to grow and deepen the business strategy.
• Manage related KPIs to measure, control, and benchmark reporting processes.
• Work with business partners to capture and understand functional requirements and develop sophisticated queries, and provide reports accordingly.

About the Role:

We’re looking for a skilled Business Data Analyst to join the Visual Display team, driving data-led strategies and actionable insights that boost product performance, optimise inventory and pricing, and improve overall operational efficiency.