Business Data Analyst, Visual Display
Butterfly Building, Tower A, Dubai Media City, Dubai, UAE, United Arab Emirates
Samsung Electronics
Tervetuloa Samsung Suomen verkkosivuille. Tarjoamme laajan valikoiman innovatiivista kodinelektroniikkaa ja tekniikkaa. Tutustu älypuhelimiin, tabletteihin, televisioihin, kodinkoneisiin ja muihin tuotteisiimme.Position Summary
Why Join Us?Since its founding in Suwon, Korea in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands, managing more than 200 subsidiaries around the world. Samsung Gulf Electronics, established in 1996, serves as the regional hub for Samsung Electronics in the Middle East, headquartered in Dubai, UAE. Over the years, it has played a pivotal role in delivering innovative technologies across the GCC region, including smartphones, home appliances, displays, air-conditioning and enterprise solutions. At Samsung Gulf, we believe in empowering people to lead and drive progress. If you are ready to grow with a global leader, we want you on our team.
Role and Responsibilities
A Snapshot of Your Day
We are seeking a talented Business Data Analyst in our Visual Display Team who will be responsible to empower the Visual Display department with actionable insights and data-driven strategies that enhance product performance, optimise inventory and pricing, leading to operational efficiencies.
Skills and Qualifications
How You Will Make An Impact
- 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.
What You’ll Need
- 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
Why You’ll Love Working with Us
- Competitive salary and performance-based incentive plan for all levels
- Flexible working hours schedule
- Visa, Top-Tier medical insurance plan and life insurance
- 22 days of paid annual leave plus public holidays
- An additional day off for your birthday!
- Yearly air ticket allowance & monthly parking allowance (if applicable)
- Free Employee Social Clubs (Paddle, Korean & Arabic Language Clubs)
- Access to discounts on a wide range of Samsung products
- On-site Cafeteria with free coffee and fruits
- 1 Volunteering Day per year
- Employee Referral Program - We want great talents like you!
- 24/7 access to the Samsung Learning Platform
- A creative, collaborative, and inclusive company culture
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Tags: Business Analytics Computer Science Data Analytics Economics ETL Excel KPIs NumPy Pandas Power BI Privacy Python RDBMS SQL Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Medical leave
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