Data Analyst / Receptionist

About the Role:

We are seeking a versatile and detail-oriented professional to fill a dual role as a Data Analyst and Receptionist. This position combines administrative front-office duties with data analysis tasks, making it ideal for an organized, tech-savvy individual who enjoys both customer interaction and analytical work.

Key Responsibilities:

• Greet visitors warmly and manage front-desk operations professionally.
• Answer, screen, and forward phone calls while taking messages when necessary.
• Maintain a tidy and welcoming reception area and meeting rooms.
• Assist the showroom head with scheduling, calendar management, and meeting minutes.
• Provide general administrative support (filing, photocopying, data entry).
• Prepare and serve refreshments for meetings and guests.
• Monitor and replenish office supplies as needed.
• Assist in organizing office events and act as a liaison between staff and visitors.

• Collect, clean, and analyze company datasets to extract actionable insights.
• Create reports, dashboards, and visualizations (using Excel, Power BI, or Tableau).
• Support business decisions by identifying trends, patterns, and inefficiencies.
• Collaborate with departments to improve data collection and reporting processes.
• Ensure data accuracy and integrity in all analyses.

Qualifications & Skills:

Education & Experience:

• Bachelor’s degree in Business, Statistics, Marketing, IT, or a related field.
• 1+ years of experience in data analysis (internship or professional).
• Previous receptionist or administrative experience is a plus.

Technical Skills:

• Proficiency in Excel (PivotTables, VLOOKUP), SQL, Power BI, or Tableau.
• Basic knowledge of data cleaning and visualization techniques.

Soft Skills:

• Excellent communication and interpersonal skills (for front-desk duties).
• Strong analytical and problem-solving abilities.
• High level of organization and multitasking.
• Professional and friendly demeanor.

Skills Required:

• Computer / Software / It / Data
• Economics / Statistics
• Sales / Marketing / Business / Management