Data Analyst

MDAR Food Company; United Arab Emirates; On-site; AED 50,000 - 90,000; Full time

Job summary

An innovative hospitality company in the UAE is seeking a skilled F&B Data Analyst to enhance their data-driven decision-making. This role involves analyzing sales performance, customer behavior, and menu preferences to drive operational efficiency and optimize offerings. With a focus on collaboration and communication, you will work across teams to implement data insights that shape marketing strategies and improve guest experiences. If you have a passion for data and a background in the restaurant industry, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• 3+ years of experience in data analysis, preferably in the restaurant industry.
• Proficient in data analysis tools like SQL, Excel, and Python.

Responsibilities

• Collect and organize data from various sources, including POS systems and customer feedback.
• Analyze large datasets to identify trends and operational efficiencies.

Skills

Data Analysis

Communication Skills

Presentation Skills

Interpersonal Skills

Trend Analysis

Education

Bachelor's in Data Science

Bachelor's in Statistics

Bachelor's in Business Analytics

Bachelor's in Hospitality Management

Tools

SQL

Excel

Python

Tableau

Power BI

Oracle Micros POS System

Job description

Driven to create unique home-grown food concepts that bring people together, the Independent Food Company is a UAE-based hospitality company with multiple concepts under its umbrella SALT, Parker's, Grind, Somewhere, and Public.

We are currently looking to hire an experienced F&B Data Analyst to join our team at our Head Office in Tecom Dubai. The key responsibilities for this role include:

1. Collect and organize data from various sources, including point-of-sale (MICROS POS) systems, reservation platforms, customer feedback channels, and financial records.
2. Analyze large datasets to identify trends, patterns, and correlations related to sales performance, customer behavior, menu preferences, and operational efficiency.
3. Analyze menu performance data to identify popular dishes, profitable items, and opportunities for menu optimization and innovation.
4. Segment guest data based on demographics, dining behavior, and preferences to identify target audiences and personalize marketing campaigns and promotions.
5. Conduct operational performance analysis, including labor cost analysis, inventory management, and supply chain optimization, to identify areas for improvement and implement solutions to address operational challenges.

Qualifications

• Bachelor's degree in Data Science, Statistics, Business Analytics, Hospitality Management, or a related field.
• Excellent communication, presentation, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Proven experience of at least 3 years in a data analysis role, preferably within the restaurant industry or a related field.
• Proficiency in data analysis tools and software, such as SQL, Excel, Python, Tableau, and Power BI.
• Proficiency in using Oracle Micros POS System.